6 Months

Course Duration

12th April, 2025

Batch Start Date

5th April, 2025

Last Date to Enroll

QUANTITATIVE TRADING PROJECTS

Predicting Market Movement and Backtesting Trading Strategies

Mark Rendle

Mark Rendle

Mechanical Engineer & Algo Trader

Predicting Markets & Backtesting

Mark Rendle

Mechanical Engineer & Algo Trader

EPAT Faculty

Dr. Ernest P Chan

Dr. Ernest P Chan

Founder, PredictNow.ai

Ex - IBM, Morgan Stanley, Credit Suisse, Millennium

Dr. Euan Sinclair

Dr. Euan Sinclair

Portfolio Manager, Hull Tactical Asset Allocation (HTAA)

Dr. Robert Kissell

Dr. Robert Kissell

President, Kissell Research Group

Ex - UBS, JP Morgan

Brian Christopher

Brian Christopher

Founder and Researcher, Blackarbs LLC

Ex - Thomson Reuters

Dr. Thomas Starke

Dr. Thomas Starke

CEO, AAAQuants

Ex - VivCourt Trading, Rolls Royce

Dr. Yves J. Hilpisch

Dr. Yves J. Hilpisch

CEO, The Python Quants

Dr. Hui Liu

Dr. Hui Liu

Founder & CEO, Creator, Running River Investment LLC & IBridgePy

Dr. Gaurav Raizada

Dr. Gaurav Raizada

Founder, iRage

Visiting Professor, IIM Ahmedabad

Rajib Ranjan Borah

Rajib Ranjan Borah

Co-Founder & CEO, iRage

Visiting Faculty, IIM Ahmedabad, IIT Bombay

Ex - Optiver, PwC, Bloomberg

Anil Yadav

Anil Yadav

Systematic Trading Strategies, iRage

Ex - Lehman Brothers

Ashutosh Dave

Ashutosh Dave

Team Manager- Quantitative Research, Futures First

Ex - OSTC Ltd.

Ishan Shah

Ishan Shah

Lead, Research and Content, Quantra

Ex - Barclays, Bank of America Merrill Lynch

Jay Parmar

Jay Parmar

Quantitative Researcher, iRage

Ex - OSTC Ltd

Nitesh Khandelwal

Nitesh Khandelwal

Chief Executive Officer and Director, QuantInsti

Co-Founder, iRage

Ex - ICICI Bank

Nitin Aggarwal

Nitin Aggarwal

Co-founder, Director, Alphom Advisory

Ex - Aditya Birla Group, BCG

Prodipta Ghosh

Prodipta Ghosh

Vice President, QuantInsti

Ex - Deutsche Bank, Standard Chartered Bank, DRDO, Cognizant

Radha Krishna Pendyala

Radha Krishna Pendyala

Data Scientist, Refinitiv

Varun Pothula

Varun Pothula

Quantitative Analyst, QuantInsti

Ex - Futures First, Accenture

Dr. Ankur Sinha

Dr. Ankur Sinha

Professor, IIM Ahmedabad & Chairperson, 2-Year MBA (PGP)

Vivek Krishnamoorthy

Vivek Krishnamoorthy

Head - Content & Research, QuantInsti

Ex- ICICI Bank, Oracle, Infosys

120+

Hours Live Lectures

20+

World Class Faculty

300+

Hiring Partners

90+

Participant Countries

3 Pillars of EPAT

Statistics & Econometrics

Statistics & Econometrics

Quantitative Trading Techniques

Financial Computing

Financial Computing

Python (key focus), Excel, MATLAB

Backtesting & Market Data

Backtesting & Market Data

Equity, FX, Options, Futures, ETFs

  • Stock market basics: Learning about financial markets and a brief understanding of how they work.
  • Excel primer: Spreadsheet basics, learning to format and visualize data, using built -in functions to summarize and manipulate data, working with examples to familiarize yourself with spreadsheets.
  • Python primer: Learning to work with Python in multiple ways (Spyder IDE, Jupyter Notebook), variables, data structures, functions, key libraries used
  • Options primer: Learning terminology used, types of options, volatility and its types, and simple options trading strategies.
  • Statistics primer: Introduction to descriptive statistics, probability theory, probability distributions, standard statistical distributions, inferential statistics, Introduction to linear regression.
  • Macroeconomics primer: Introduction to key macroeconomic ideas like inflation, exchange rates, GDP, interest rates, fiscal and monetary tools.
  • Machine learning for trading primer: Basic machine learning concepts, types of ML, and their application to trading, supervised and unsupervised ML algorithms with their implementation in financial markets.
  • We will conduct two preparatory sessions to answer queries and resolve doubts on the statistics primer and the Python primer
EPAT Curriculum Demo Lecture
  • Key ideas in statistics and probability, and animating them with financial market data
  • Creating and analyzing quant trading strategies on spreadsheets, creating charts to interpret their performance
  • Learning portfolio construction and optimizing them using modern portfolio theory
  • Introduction to Monte Carlo simulations and their applications on market data
  • Studying the random walk model to predict future stock prices using simulations and assessing outcomes
  • Understanding the capital asset pricing model
EPAT Curriculum Demo Lecture
  • Data types, variables, Python in-built data structures, inbuilt functions, logical operators, and control structures
  • Introduction to the main libraries in the data science stack: NumPy, pandas, and matplotlib
  • Learning to write functions in Python
  • Studying pandas routine used to analyze and visualize OHLCV data
  • Writing and backtesting trading strategies
  • Two Python tutorials will be conducted to answer queries and resolve doubts on the material covered in the lectures
EPAT Curriculum Demo Lecture
  • Overview of Electronic and Algorithmic Trading.
  • Understanding market terminology, order book concepts and order types
  • Introduction to execution strategies
  • Understanding various algorithms such as Execution, Quant, and HFT
  • Understanding different investment styles and trading algorithms
  • Learning trading analytics
  • Case studies
EPAT Curriculum Demo Lecture
5 Equity, FX, & Futures Strategies
  • Strategy building in equities - moving crossover, and VWAP
  • Profit and loss analysis of a trading system
  • Different types of Momentum (Time series & Cross-sectional)
  • Trend following strategies and Statistical Arbitrage Trading strategy modeling with Python
  • Arbitrage, market making and asset allocation strategies using ETFs
  • Introduction to position sizing and risk management
EPAT Curriculum Demo Lecture
  • Learning to backtest and analyze 4-5 strategies on Python using historical data
  • Understanding object-oriented programming (OOP) concepts and using OOP to backtest trading strategies
  • Glimpse of the basic cloud infrastructure to host automated Python strategies
  • Learn vectorized and event-driven backtesting along with trade parameter optimization
  • Learning the work flow of a quant strategy
  • Two tutorials will be conducted to answer queries and resolve doubts related to the material covered in the related lectures
EPAT Curriculum Demo Lecture
  • Classical ML algorithms: Support Vector Machines (SVM), k-means clustering, logistic regression, decision trees, random forests
  • Introduction to deep learning: Neural networks, gradient descent, and backpropagation algorithms
  • Using Python to build and evaluate ML models for potential trading strategies (by creating features and selecting suitable ones)
  • Learning principal component analysis (PCA) and using it to create statistical arbitrage strategies in multiple co-integrated assets
  • Learning about alternate data: sources, data formats, storage and retrieval
  • Introduction to deep reinforcement learning and implementing RL in a simple strategy using 'gamification'
EPAT Curriculum Demo Lecture
  • Learn the different trading paradigms - LFT, MFT, and HFT
  • Understanding the system architecture of a traditional trading system
  • Understanding the system architecture of an automated trading system
  • Assessing the challenges in building a trading system
  • Learning about the infrastructure (hardware, software, network, etc.) requirements to start an algo trading desk
  • Understanding the business environment (including regulatory, financials, etc.) to start an algo trading desk
  • Overview on business requirements to start an algo trading desk
  • Examples of starting out in developing markets and developed markets
EPAT Curriculum Demo Lecture
  • Learning time series-centric terminology like stationarity, ACF, PACF
  • Learning common features of financial asset returns
  • Introduction to the ARIMA family of models
  • Learning to model volatility
  • Introduction to ARCH and GARCH models
  • Building and testing trading strategies using time series modeling techniques on Python
EPAT Curriculum Demo Lecture
  • Introduction to the Interactive Brokers (IB) platform and Blueshift
  • Working with IB Trader WorkStation (TWS) and the IB TWS API architecture
  • Learning the REST API (used by hundreds of brokers worldwide) and its components
  • Exposure to multiple Python solutions for algo trading
  • Learning to use IBridgePy (API used to backtest and live trade strategies with brokers like Interactive Brokers, Robinhood, TD Ameritrade)
  • Managing multiple accounts as a fund manager
EPAT Curriculum Demo Lecture
  • Learning about different methods to evaluate portfolio and strategy performance
  • Understanding risk management: sources of risk, risk limits, risk evaluation and mitigation, risk control systems
  • Trade sizing for individual trading strategies using historical methodologies, Kelly criterion, and leverage space theorem
  • Profitability analysis of individual strategies
  • Building a portfolio with multiple stocks
  • Profitability analysis of a portfolio
EPAT Curriculum Demo Lecture
  • Introduction to options, payoff diagrams, common option structures
  • General option trading principles, model-independent option features
  • Option pricing variables and parameters
  • Option pricing concepts (Black-Scholes-Merton)
  • Options Greeks
  • Options trading (early exercise and expiration trading)
  • Risk management and trade evaluation
  • Volatility premium
  • Volatility trading with options, realized and implied volatility
  • Hedging in practice
EPAT Curriculum Demo Lecture
  • Self-study project work under the mentorship of a domain expert
  • Project topic can come from different areas of financial market trading (be it asset class, techniques used, market selected) and can help crystallize your learnings from the EPAT into something concrete
EPAT Curriculum Demo Lecture
  • EPAT exam is conducted at proctored centers in 80+ countries
EPAT Curriculum Demo Lecture

Webinar Recordings

Quant Trading Masterclass with Industry Experts

webinar video
webinar video

ML Applications in Quant Trading

webinar video

Algo Trading & How to Stay Ahead

webinar video

Mean Reversion Trading Strategies by Ernest P Chan

Certification

Institute of Banking and Finance (IBF, Singapore)

This programme has been accredited by The Institute of Banking and Finance (IBF, Singapore) under the IBF Standards. IBF-STS provides upto 50% funding for direct training costs subject to a cap of S$ 3,000 per candidate per programme subject to all eligibility criteria being met. This is applicable to Singapore Citizens or Singapore Permanent Residents, physically based in Singapore. Find out more on www.ibf.org.sg

Continuing Professional Development, UK

EPAT is accredited by CPD, UK (Continuing Professional Development, UK)

QuantInsti has registered this program with GARP for Continuing Professional Development (CPD) credits. Attending this program qualifies for 30 GARP CPD credit hours. If you are a Certified Financial Risk Manager (FRM®), or Energy Risk Professional (ERP®), please record this activity in your Credit Tracker.

EPAT Certificate of Excellence Zoom Icon

Alumni Benefits

Benefits

Networking events are available post-completion of the course

Expert mentorship to navigate the professional journey.

Lifelong algo trading learning: Access to updated & full EPAT content

Lifetime Placement Services: Regular job postings and upskill opportunities

EPATian Convocation Ceremony

Trader Outcomes

Benefits

1

Backtest & Live Trade

3

Access to Real Market Data

2

Setup Your Quantitative Trading Desk

4

Find Funds for your Trading Venture

View All Trader Benefits

Broker Integrations

Interactive Brokers Alpaca

EPAT Benefits

Python Programming

Python Programming

Personalized Guidance

Personalized Guidance

Hands-on Learning

Hands-on Learning

Learner Reviews

We have a 4.8 rating out of 400+ Google reviews

Marcus Coleman
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

QuantInsti is the best place to learn professional algorithmic and quantitative trading. The EPAT program is a highly structured and hands-on learning experience, and it's being updated frequently.The facu… See More

QuantInsti is the best place to learn professional algorithmic and quantitative trading. The EPAT program is a highly structured and hands-on learning experience, and it's being updated frequently.The faculty and staff are extremely competent and available to address any concerns you may have.Upon completion of the EPAT program, you will have the necessary tools to begin a career in algorithmic/ quantitative trading.

Wei Jie
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

I find this program great. Before taking this program, I had not any experience in Quant-trading. I studied mathematics at university and worked as a private banker in China. I am very interested in Quant-… See More

I find this program great. Before taking this program, I had not any experience in Quant-trading. I studied mathematics at university and worked as a private banker in China. I am very interested in Quant-trading. So I took this program. And now, I can write a simple pair-trading strategy, use Monte Carlo simulation to predict, and gained the necessary AI knowledge for further self-learning. This program is very useful for me. And the learning assistant is great too. He communicated with me every two weeks and always answered my queries very soon.

Jad Mawlawi
United Kingdom google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

EPAT has been a great experience for me. It is definitely the best program out there to learn quantitative finance and algorithmic trading. The team was, and still is, very helpful and caring. The course i… See More

EPAT has been a great experience for me. It is definitely the best program out there to learn quantitative finance and algorithmic trading. The team was, and still is, very helpful and caring. The course itself is a combination of different disciplines, including programming, finance, and statistics, taught by a very knowledgeable and experienced faculty.

Billy Davila
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

I recently completed the EPAT program from QuantInsti, and it was a rich experience. I learned more here than I did in my university curriculum. This is mainly because the EPAT course is very practical, an… See More

I recently completed the EPAT program from QuantInsti, and it was a rich experience. I learned more here than I did in my university curriculum. This is mainly because the EPAT course is very practical, and I was able to learn a lot in such a short time. It provided me with a lot of theoretical and practical knowledge in the algorithmic trading domain. Besides their excellent curriculum, the support team is friendly, dedicated, and always there to support you during your EPAT journey. They also have a placement team that keeps you updated with career opportunities. However, keep in mind that your background will influence how well you fit into those career opportunities. They also have a self-paced learning portal named Quantra, which I really enjoy. Overall, they are excellent at what they do.

Venka Challa
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

EPAT is a great course for anyone who likes to learn algo-trading. The course work is quite comprehensive. Though I have years of experience in discretionary trading, taking EPAT got me introduced to this … See More

EPAT is a great course for anyone who likes to learn algo-trading. The course work is quite comprehensive. Though I have years of experience in discretionary trading, taking EPAT got me introduced to this phenomenal area. And I am happy I did it. Starting with Excel, which is used by almost all institutional traders and retail traders alike, the courses teach you the most relevant Python language constructs.For me, this was quite helpful because I am not a developer and didn't know where to start with programming languages for Trading. The course takes you through the most basic ideas using Excel and Python to complex trading arenas such as Options trading.ML courses were quite helpful as well since EPAT courses guide you through the usage of ML in Trading. One of the best features of EPAT course structure is that they bring industry experts to teach you real- world scenarios.Some of these traders are world - renowned, in fact(at least in the Trading arena).Overall, I do not hesitate to recommend EPAT to anyone who likes to learn algo - trading!

Srikhanth Hanumanthapaa
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

Quant Insti helped improve my Quant skills and trading strategies to execute in Python.I was learning the EPAT course from the USA and highly recommend this course to all aspiring Algo Traders and Quant De… See More

Quant Insti helped improve my Quant skills and trading strategies to execute in Python.I was learning the EPAT course from the USA and highly recommend this course to all aspiring Algo Traders and Quant Developers.Great teaching faculty, and Siddu was great at mentoring me and helping with the course.I recommend EPAT and Quantra classes from QuantInsti.A great platform to learn and excel.Worldwide job placements are excellent after the course.

Jonathon Stanton
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

This is a fantastic course; it's hard work, but you'll get a lot out of it. The support team is definitely one hundred percent there to help anybody achieve their goals. Despite this, algorithmic trading i… See More

This is a fantastic course; it's hard work, but you'll get a lot out of it. The support team is definitely one hundred percent there to help anybody achieve their goals. Despite this, algorithmic trading is not an easy profession.

Simon Lafrenière
Canada google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

I would highly recommend taking the EPAT program to anyone interested in becoming a successful algorithmic trader. The course material is excellent; the teachers are experienced and expose the learnings in… See More

I would highly recommend taking the EPAT program to anyone interested in becoming a successful algorithmic trader. The course material is excellent; the teachers are experienced and expose the learnings in a clear and assimilable manner. You develop both a general understanding and dive deep into the specifics to develop all the skills required to succeed. They do their best to answer our questions, and the recordings allow us to learn at our own pace. All the staff members are very nice and supportive. They make sure we receive the best value from our investment in this high-quality education with them. The alumni network is very active and passionate about growing as a community. This is rare in my experience with online learning. Thank you to everyone at Quantinsti for making our experience so positive!

Pratik Mangwani
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

EPAT is one of the best investments one can make to get started in the quant industry. Esteemed faculty, with real-life use cases of all teachings, make the course highly valuable with the skills taught. G… See More

EPAT is one of the best investments one can make to get started in the quant industry. Esteemed faculty, with real-life use cases of all teachings, make the course highly valuable with the skills taught. Great alumni services and community, coupled with fantastic support from the staff.

Alvin Sims
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

Great program. They stay with you after the courses are finished. A true trading family!

Great program. They stay with you after the courses are finished. A true trading family!

Lusine Baghdasaryan
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

I have recently become an EPATIAN and would love to share how delighted I am with the EPAT program. IT IS A COMPREHENSIVE, practical, hands-on, and at the same time, theoretical program. It gives you good … See More

I have recently become an EPATIAN and would love to share how delighted I am with the EPAT program. IT IS A COMPREHENSIVE, practical, hands-on, and at the same time, theoretical program. It gives you good knowledge of the financial markets and backtesting opportunities with several software packages. The program is taught by professionals, traders with PhDs, professors of renowned universities, and founders of hedge funds. The staff is helpful and very nice; they have supported me at high levels with every single request I have made! It’s a great program, and I strongly recommend it to anyone interested in entering financial markets!

Marcus Coleman
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

QuantInsti is the best place to learn professional algorithmic and quantitative trading. The EPAT program is a highly structured and hands-on learning experience, and it's being updated frequently.The faculty and staff are extremely competent and available to address any concerns you may have.Upon completion of the EPAT program, you will have the necessary tools to begin a career in algorithmic/ quantitative trading.

Wei Jie
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

I find this program great. Before taking this program, I had not any experience in Quant-trading. I studied mathematics at university and worked as a private banker in China. I am very interested in Quant-trading. So I took this program. And now, I can write a simple pair-trading strategy, use Monte Carlo simulation to predict, and gained the necessary AI knowledge for further self-learning. This program is very useful for me. And the learning assistant is great too. He communicated with me every two weeks and always answered my queries very soon.

Jad Mawlawi
United Kingdom google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

EPAT has been a great experience for me. It is definitely the best program out there to learn quantitative finance and algorithmic trading. The team was, and still is, very helpful and caring. The course itself is a combination of different disciplines, including programming, finance, and statistics, taught by a very knowledgeable and experienced faculty.

Billy Davila
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

I recently completed the EPAT program from QuantInsti, and it was a rich experience. I learned more here than I did in my university curriculum. This is mainly because the EPAT course is very practical, and I was able to learn a lot in such a short time. It provided me with a lot of theoretical and practical knowledge in the algorithmic trading domain. Besides their excellent curriculum, the support team is friendly, dedicated, and always there to support you during your EPAT journey. They also have a placement team that keeps you updated with career opportunities. However, keep in mind that your background will influence how well you fit into those career opportunities. They also have a self-paced learning portal named Quantra, which I really enjoy. Overall, they are excellent at what they do.

Venka Challa
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

EPAT is a great course for anyone who likes to learn algo-trading. The course work is quite comprehensive. Though I have years of experience in discretionary trading, taking EPAT got me introduced to this phenomenal area. And I am happy I did it. Starting with Excel, which is used by almost all institutional traders and retail traders alike, the courses teach you the most relevant Python language constructs.For me, this was quite helpful because I am not a developer and didn't know where to start with programming languages for Trading. The course takes you through the most basic ideas using Excel and Python to complex trading arenas such as Options trading.ML courses were quite helpful as well since EPAT courses guide you through the usage of ML in Trading. One of the best features of EPAT course structure is that they bring industry experts to teach you real- world scenarios.Some of these traders are world - renowned, in fact(at least in the Trading arena).Overall, I do not hesitate to recommend EPAT to anyone who likes to learn algo - trading!

Srikhanth Hanumanthapaa
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

Quant Insti helped improve my Quant skills and trading strategies to execute in Python.I was learning the EPAT course from the USA and highly recommend this course to all aspiring Algo Traders and Quant Developers.Great teaching faculty, and Siddu was great at mentoring me and helping with the course.I recommend EPAT and Quantra classes from QuantInsti.A great platform to learn and excel.Worldwide job placements are excellent after the course.

Jonathon Stanton
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

This is a fantastic course; it's hard work, but you'll get a lot out of it. The support team is definitely one hundred percent there to help anybody achieve their goals. Despite this, algorithmic trading is not an easy profession.

Simon Lafrenière
Canada google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

I would highly recommend taking the EPAT program to anyone interested in becoming a successful algorithmic trader. The course material is excellent; the teachers are experienced and expose the learnings in a clear and assimilable manner. You develop both a general understanding and dive deep into the specifics to develop all the skills required to succeed. They do their best to answer our questions, and the recordings allow us to learn at our own pace. All the staff members are very nice and supportive. They make sure we receive the best value from our investment in this high-quality education with them. The alumni network is very active and passionate about growing as a community. This is rare in my experience with online learning. Thank you to everyone at Quantinsti for making our experience so positive!

Pratik Mangwani
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

EPAT is one of the best investments one can make to get started in the quant industry. Esteemed faculty, with real-life use cases of all teachings, make the course highly valuable with the skills taught. Great alumni services and community, coupled with fantastic support from the staff.

Alvin Sims
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

Great program. They stay with you after the courses are finished. A true trading family!

Lusine Baghdasaryan
United States google logo

Course Rating Course Rating Course Rating Course Rating Course Rating

I have recently become an EPATIAN and would love to share how delighted I am with the EPAT program. IT IS A COMPREHENSIVE, practical, hands-on, and at the same time, theoretical program. It gives you good knowledge of the financial markets and backtesting opportunities with several software packages. The program is taught by professionals, traders with PhDs, professors of renowned universities, and founders of hedge funds. The staff is helpful and very nice; they have supported me at high levels with every single request I have made! It’s a great program, and I strongly recommend it to anyone interested in entering financial markets!

FAQs

What is the fee for EPAT?
The updated fee details are available here. Qualified applicants are provided with financial assistance and flexible payment plans.
Financial assistance provided to qualified applicants include but are not limited to the following:
  • Merit-Based Scholarship - QuantInsti offers scholarships to deserving candidates who score well on the test. You can apply for the scholarship here
  • Student Discounts -QuantInsti believes in investing in the future of tomorrow, the students of today. We have a discounted fee for full-time students.
  • Participants from Emerging Economies -Special consideration is given to participants from Emerging Markets so that the programme is more affordable.
  • Flexible Payment Plans – QuantInsti is partnered with financial institutes that provide education-related flexible payment plans to Indian resident participants.
This programme has been accredited under the IBF Standards and is eligible for funding under the IBF Standards Training Scheme (IBF-STS), subject to all eligibility criteria being met. A participant must successfully complete the EPAT programme (including passing all relevant assessments and examinations) to be eligible. Prospective participants are advised to assess the suitability of the programme and its relevance to participants’ business activities or job roles.
IBF-STS provides up to 50% funding for direct training costs subject to a cap of S$ 3,000 per candidate per programme subject to all eligibility criteria being met. This is applicable to Singapore Citizens or Singapore Permanent Residents, physically based in Singapore. Find out more on www.ibf.org.sg
Indian residents can avail of a rebate on the EPAT fee. The benefits apply to:
  • Direct Subsidy Benefits - Applicable to individuals with an annual income up to INR 2 million (Indian Rupees 20 lakhs) per annum
  • Public Sector & Regulatory Professionals - Employees of Public Sector Services/Enterprises (PSEs) & Stock/Commodity Exchanges and Regulatory bodies (SEBI, RBI, IRDA, etc), including retired employees from these enterprises.
  • Defence & Medical Professionals - Defence personnel (both current and ex-servicemen, including those served/serving under short service commission) & Medical professionals.
  • Students – Full-time academia, including full-time students & full-time professors/lecturers.
For more details, contact our programme counsellors here
It is an online test comprising of college-level questions from relevant disciplines: Statistics, Financial Markets, Options, and Programming. For high scorers, a merit-based discount is applicable to their EPAT fees. You can take the test here. Please note, that you get only one attempt for the test.
It is a simple three step process:
  1. Submit your application form here.
  2. Wait for your application to get accepted.
  3. Pay the fees.
Soon after the successful receipt of your EPAT fees & acceptance, you are given access to the learning management system (LMS portal) and your EPAT journey begins!
Before admission, we offer to facilitate a one-on-one counsellor. that will focus on understanding the strengths and weaknesses of the participant. These sessions do not necessarily decide the participants’ eligibility but help counsellors assist them with informed guidance prior to enrolment.
We provide an opportunity to clear all your doubts about the programme prior to enrollment. Also, you get access to a dedicated team support even before your EPAT programme starts. Therefore, we follow a no refund policy.
Yes, you can apply. College students can benefit from EPAT by making themselves “more recruitable” with the required practical skills in the financial markets domain. EPAT alumni include college students who bagged good roles after successful completion of their college degree and EPAT.
Please note that while QuantInsti offers lifetime placement services to all EPAT alumni, it does not guarantee any placements.
QuantInsti offers student discounts to all full-time students, which can be availed by sharing the valid college ID proof and other required documents.
Send us your details by filling the application form here and we will arrange a counselling call for you.
Traders and financial market professionals who don’t have programming experience, can benefit & prepare themselves for their EPAT journey with the help of the primer content shared upon your successful enrollment. This is a self-study, interactive module which helps you code, understand basics and prepare yourself for the classroom sessions which cover advance and complex concepts as well. The primer module also contains a test which helps participants assess their learning.
Yes, you can apply. If you are from engineering or quantitative sciences background, you might already have some basic exposure to the skills required for Algorithmic trading domain. To check your eligibility in EPAT, apply for the scholarship test here. EPAT counsellors will get in touch with you and guide you further.
For beginners in Quantitative domain, EPAT offers primer modules on Statistics, Econometrics, Options, Financial markets, Excel computation and Python programming along with assessment tests in each of these categories.
Historically, we have been running 4 batches of EPAT in a year.
The updated dates and fees related information is available here.
How long is the QuantInsti’s Executive Programme in Algorithmic Trading®?
6 months. The enrollment for a batch starts around four months before the actual programme start date. As soon as you enroll successfully, you are provided with access to the student portal where you start with the primer content. You prepare on topics like Statistics, Econometrics, Options, Financial markets basics, Excel computation and Python programming. From the batch starting date till the batch closing date, you will get six months to attend lectures, complete assignments, tests, and project work and take the final examination.
This programme has been accredited under the IBF Standards, and is eligible for funding under the IBF Standards Training Scheme (IBF-STS), subject to all eligibility criteria being met. A participant must successfully complete the EPAT programme (including passing all relevant assessments and examinations) in order to be eligible. Prospective participants are advised to assess the suitability of the programme and its relevance to participants’ business activities or job roles. IBF-STS provides upto 50% funding for direct training costs subject to a cap of S$ 3,000 per candidate per programme subject to all eligibility criteria being met. This is applicable to Singapore Citizens or Singapore Permanent Residents, physically based in Singapore. Find out more on www.ibf.org.sg. EPAT is accredited by CPD, UK (Continuing Professional Development, UK) QuantInsti has registered this program with GARP for Continuing Professional Development (CPD) credits. Attending this program qualifies for 30 GARP CPD credit hours. If you are a Certified Financial Risk Manager (FRM®), or Energy Risk Professional (ERP®), please record this activity in your Credit Tracker.
Before the start of a batch or/and during the first month, the primer topics in the fields of Statistics, Econometrics, Options, Machine Learning, Financial Markets basics, Excel computation and Python programming are covered. Short tests on each of these topics allow participants to test their knowledge in these fields.

2 preparatory lectures have been introduced to EPAT: Lecture 1 - Python and Lecture 2 - Statistics. These lectures would be conducted 2 weeks prior to the beginning of EPAT lectures and would be extremely beneficial in establishing your base in these topics.

The first month is on introductory topics in Algorithmic Trading such as basic statistics, programming basics and understanding of order book & execution strategies so that a strong foundation is laid for the rest of the programme.
Advanced topics include time series analysis, machine learning in trading, event-based execution, market making, equities and ETF trading-based strategies, market microstructure, event-driven backtesting, and trading with mixture models among others. Different programming languages and tools used in the programme include Excel, Python, and Matlab. The programme allows participants to specialize in an asset class/strategy paradigm/trading paradigm(HFT, LFT, or MFT) through project work, which includes working under a domain expert's mentorship. To receive the detailed curriculum, please write to us at sales@quantinsti.com.
EPAT introduces the concepts behind building High-Frequency Trading (HFT) strategies, it does not include detailed implementation.
Typically 8-12 hours of self study, along with 6-8 hours of live lectures are required weekly to do well in the programme.
Your dedicated Support Manager will help you throughout the programme to ensure that you do not lag behind. Even if it happens, then depending on the completion date, you may choose the self-paced learning option available with a few months of extension. Based on the completion of assignments, and the number of lectures attended, you might be given the Certification of Participation.
You can apply for a batch defer to a later one, before the starting date of your enrolled batch. If your application is complete along with all required documents and it fulfills the required criteria, you could be moved to a later batch.
The course participants who complete the coursework along with the final EPAT exam successfully are awarded ‘Certification of Excellence’.
The minimum requirements to be eligible for ‘Certification of Excellence’ include a certain percentage of
  • Attendance in lectures or time spent watching the recordings
  • Score in quizzes and assignments
  • Score in the mid-term examination
  • Score in the final examination
EPAT Project is practical, self-driven, strategy creation or business-related research work that participants carry out under the mentorship of the respective domain expert. The project work is optional and carries no weightage in the final score. However, it serves as an excellent opportunity for driven and motivated candidates to specialize in an asset class or strategy paradigm by working with relevant data and quant platform(s).
You will be required to work on different platforms and softwares in the programme. Most of these platforms and softwares are either open-sourced or their free/demo versions are available for EPAT participants. You would not be required to purchase any product for learning purposes. QuantInsti doesn’t sell or endorse any product used in the programme. It is only recommended for learning purposes.
You will be taught different strategy paradigms by experts in their domains. QuantInsti does not claim to offer ‘profitable strategies’. EPAT aims to deliver the concepts & advanced techniques to create various types of Quantitative Strategies.
EPAT curriculum includes topics on business environment and setting up on your trading desk in which participants get to interact live with faculty and experts who have domestic and international experience in running Algorithmic & Quantitative trading, including HFT business. The participants are exposed to the dynamics involved in setting up an algorithmic trading desk.
You need to have:
  1. A personal computer with the minimum configuration as: Operating system such as Windows: (Windows 8, Windows 8.1, Windows 10) or Mac: Mac (v 10.10), Mac(v 10.11), Mac(v 10.12), Mac(v 10.13). Additionally, you will need some software/programming languages installed on your system to have hands-on experience as well as finish the programme. A list of required software and the installation manuals will be shared with you before the programme starts.
  2. RAM: A trader runs multiple processes simultaneously, making RAM crucial. A minimum of 8GB RAM is recommended, but 16GB RAM is preferable.
  3. Hard Drive: Most desktops come with 500GB storage, which is usually sufficient. However, you can opt for 1TB or more if needed. Ensure you choose an SSD (Solid State Drive) over an HDD (Hard Disk Drive) for better performance. Example: 1TB SSD.
  4. Graphics Card: For up to 2 monitors, an Nvidia video card with 2GB GPU is sufficient. If using more than 2 monitors, go for a 4GB GPU.
  5. Language skills: You should be able to understand spoken and written English well.
  6. Enough time and motivation: You should be able to devote 10-15 hours every week at the least. The more the better!
  • Career Assistance: COngoing expert guidance! An EPAT alumnus secured a job six years after completing EPAT.
  • Lifelong Learning Content: EPAT alumni stay updated with the latest expert-curated EPAT content.
  • Ancillary Resources & Services (Quantra, Blueshift): Alumni get access to trading platforms, special discounts on quantitative trading events and resources, and exclusive conference invitations, sometimes exclusively!
  • Access to the Quant Network: Connect with EPATians from 90+ countries to build a global network of quants and algo traders. Country-specific meetups are arranged occasionally to bring together participants, alumni, and faculty.
  • Exclusive Invites to Webinars & Workshops: Alumni attend guest lectures by industry experts.
Read about EPATians’ experiences on our reviews page.
  • Learn from 20+ Industry Experts: Gain insights from leading professionals in algorithmic trading.
  • Hands-on Learning: Work on real-world trading strategies and coding exercises.
  • Dedicated Support Manager: Get personalized guidance throughout your learning journey.
  • Lifetime Placement Support: Exclusive EPAT sessions, resume building, mock interviews and more, to prepare you for quant roles with 300+ placement partners in 20+ countries.
  • Specialized EPAT Environment: Set up a customized yet comprehensive virtual space effortlessly for seamless and hassle-free coding practice.
  • Bonus Python Material: Exclusive practice resources for those completing assigned activities on time. These resources give you an edge during the selection, job assignment and interview processes.
  • New Assignments: Topics ranging from Machine Learning, Natural Language Processing, to High Latency Trading, Market Microstructure and more, equipping you with the latest techniques used in the industry.
  • Cloud infra for Trading: A dedicated session on whats, hows, whys, applications, setting up and deploying strategies on cloud infrastructure, challenges, and much more.
  • EPAT Guided Mini-Projects: Solve real-world problems with two optional 10-day Python-based projects, in addition to the main EPAT project.
  • Lifetime Access to EPAT Content: Stay updated with the latest industry trends and course materials.
Can I attend classroom sessions?
As the faculty members are based in different locations worldwide, all live lectures are conducted online.
Yes, you can attend the sessions on the go using the required apps on smartphones and tablets. But we recommend attending sessions on your laptop/desktop as most of the sessions are hands-on.
It is 100% online. You can opt for writing the exam at your nearby centre of our exam partner or remotely from home, given the pre-requisites are met.
  • The curriculum is practice-oriented and designed by practitioners to ensure you learn concepts from a real-world perspective.
  • Hands-on learning is encouraged—faculty members guide you to work on your machine, interact personally and quiz you during sessions.
  • Data-driven approach—almost every concept is taught using real financial market data.
  • Projects & mini-projects—students work on them with faculty guidance.
  • Self-practice is key—open-ended assignments help reinforce learning and are individually graded.
No, you will not trade in live markets during the lecture hours or in the classroom sessions. However, you will be taught to paper trade and experts will share nuances that differ paper and live trading environment. When you take your strategies live and have doubts, as EPAT participant/alumni, you can get the required guidance from the faculty.
In many ways:
  • Live interaction with faculty during lectures.
  • Get your doubts resolved before or after lectures by faculty.
  • Work under the mentorship of a subject matter expert during EPAT project work.
  • Stay connected - you can also interact with faculty anytime through your support manager.
  • Dedicated Support Manager will guide you through the six months. Your manager will resolve your doubts and keep you motivated and engaged in this new and demanding career path
  • Expert guidance from industry practitioners who are part of the faculty.
  • Career support includes resume building, career counseling, mock interviews, and more. You will also receive job postings from the very first month.
  • Additional learning resources with extra links and content will be shared with you to enhance your learning.
  • Alumni support is provided post EPAT, to help you grow in the algo trading domain and network with your peers.
  • Lifetime access to updated lecture notes and videos is provided after completing EPAT successfully.
QuantInsti provides you with two books to be referred to during the programme.
  1. Machine Learning in Trading
  2. Python Basics
Before starting EPAT, we provide primer modules to give you a head start and familiarize you with basic concepts and tools used during the programme. We also share additional links & content to further enhance your learning.
The total duration of the course is 6 months. It comprises of 4 parts:
  • Live Lectures
  • Test & Assignments
  • Live Project (optional)
  • Final Examination
Each lecture would ideally be around 3 hours in duration, with two lectures in a week. The lectures take place over the weekends. To receive the detailed curriculum, please do write to us at sales@quantinsti.com.
EPAT Exams are conducted at the Prometric centres globally. Every year, there are four exam windows/weeks, during which you can schedule your own exam based on the availability of the slot at the nearest Prometric centre in your country. You may also write exam using the Remote proctoring basis availability.
Your account manager will help you with the details. Just share your city, country and postal code with your account manager and (s)he will share the nearest centre.
We understand your concern and respect the efforts that you put to learn. So, we may provide you with a chance for re-attempting the exam. You can check with your support manager for detailed process. Re-scheduling charges may be applicable for the scheduling the exam beyond your batch exam window.
One month prior to the exam, you will get an email from the Support team, explaining the process for scheduling your exam. Additionally, you may call your support manager who will guide you to schedule your exam.
How will EPAT placement team help me in my job quest?
We have a dedicated in-house career cell that addresses any career related queries. The career cell receives job openings from 300+ placement partner firms from different countries.
Apart from sharing job opportunities, career cell conducts resume strengthening trainings, mock interviews, and provides you with sample assignment questions to prepare you for selection procedure. Placement assistance starts from the very first month and continues post course completion.
We provide placement assistance to all interested participants and alumni and try our best to find the appropriate match. However, we don't guarantee getting a job, as it depends on many factors, including, but not limited to, participants’ skillsets, past experience, and performance in interviews.
We do have placement partner firms in various parts of the world. We see most opportunities coming from US, India, Singapore, and Hong Kong.
QuantInsti strives to bring all possible roles in Algorithmic Trading to our participants. Some of these profiles include:
  • Developer
  • Quant Analyst
  • Quant Researcher
  • Trader
  • Strategist
You can read more about this here.
Knowing programming languages and coding is required for backtesting & automating your strategies hence candidates from coding background have an advantage. Companies are on a lookout for candidates with exposure to technology and finance both.The most suitable profile for them is a Quant Developer or Coder, however they can explore other roles as well.
Yes, we get internship, full-time employment, & freelancing opportunities from our partnered firms.
We see a few candidates placed almost every month. Some of these details are shared in our monthly newsletters. Please do write to us at sales@quantinsti.com if you want more information.
Job opportunities and offers depend on a number of factors such as educational background, Graduate/Post Graduate College/University, Certifications/Internships/Projects, past work experience, etc. Companies are generally looking for someone who has exposure to Tech & Finance background.
Some examples of recent job opportunities & salary packages that we have shared with our participants through QuantInsti’s career cell are:
  • Quant Trader: Up to INR 2.5 million per annum + PNL/ Performance Bonus,
  • HFT Trader: Up to INR 2.5 million per annum + PNL/ Performance Bonus,
  • Data Scientist: Up to INR 2 million per annum,
  • Quant Research Analyst: Up to INR 2.5 million per annum,
  • Quantitative Trader: Up to USD 200,000 per annum + PNL Bonus,
  • Quantitative Research: Up to USD 80,000 per annum,
  • Quantitative Developer: Up to USD 100,000 per annum
We are currently partnered with 300+ companies, that includes Algo trading/HFT firms, investment banks, trading and brokerage houses, consulting companies. A partial list is available here.
What does QuantInsti do?
QuantInsti offers one of the world’s most comprehensive ecosystems for Algorithmic & Quantitative Trading, offering educational and technological solutions to individuals and institutions.We also empower brokerage houses & hedge funds with our institutional-grade technology and trading platform, enabling them to offer advanced trading tools to millions of users.
QuantInsti’s comprehensive learning ecosystem includes:
  • EPAT® (Executive Programme in Algorithmic Trading)
    EPAT is the world's first proctored certification in algorithmic trading. It is a fully online, 6-month instructor-led programme designed by 20 industry experts based on their 250+ years of combined experience. EPAT faculty members include Dr Ernest P. Chan, Dr Euan Sinclair, Dr Thomas Starke, Dr Robert Kissell, Nitesh Khandelwal, and Rajib Ranjan Borah, among others. See the entire list of faculty members here.
  • Quantra®
    is a self-paced, Python-focused, interactive learning platform with 50+ trading courses on Quantitative & Algorithmic Trading applicable across asset classes including Stocks, Options, Derivatives, Futures, Commodities and more. It is integrated with Blueshift to encourage traders to learn and implement seamlessly.
  • Blueshift®
    Blueshift is an all-in-one automated trading platform that brings institutional-class infrastructure for investment research, backtesting, and algorithmic trading to everyone, anywhere and anytime. It is fast, flexible, and reliable. It is also asset-class and trading-style agnostic. Blueshift helps you turn your ideas into investment-worthy opportunities..
  • Free resources
    Access blogs, webinars, eBooks, and free courses to stay updated in the domain.
QuantInsti is headquartered in Mumbai, India. While it is not based in Singapore, the Executive Programme in Algorithmic Trading (EPAT) is accredited under the Institute of Banking and Finance Standards Training Scheme (IBF-STS), Singapore.
QuantInsti® was founded by Algorithmic & High-Frequency Traders and Experts, who also founded iRage, a leading HFT firm in Asia. On the advisory board is Dr. Ernest P. Chan, a practitioner and academician, globally renowned in his domain. QuantInsti’s courses and specialisations feature top industry experts who share their decades of experience in a unique interactive manner. Know about the founders here.
About IBF Certification
IBF Certification is an industry endorsed mark of quality for finance professionals in Singapore. Individuals who successfully complete an eligible IBF-Standards Training Scheme ("IBF-STS") accredited training and assessment programme and meet the relevant criteria may apply for IBF Certification. More information on IBF Certification can be found in here.
Yes, EPAT is accredited by The Institute of Banking and Finance (IBF, Singapore) under the IBF Standards. This is applicable to Singapore Citizens or Singapore Permanent Residents, physically based in Singapore.
EPAT is accredited by IBF-STS.
This programme has been accredited under the IBF Standards, and is eligible for funding under the IBF Standards Training Scheme (IBF-STS), subject to all eligibility criteria being met. A participant must successfully complete the EPAT programme (including passing all relevant assessments and examinations) in order to be eligible. Prospective participants are advised to assess the suitability of the programme and its relevance to participants’ business activities or job roles.
IBF-STS provides upto 50% funding for direct training costs subject to a cap of S$ 3,000 per candidate per programme subject to all eligibility criteria being met. This is applicable to Singapore Citizens or Singapore Permanent Residents, physically based in Singapore.
Find out more on www.ibf.org.sg.
  1. You need to be a Singapore Citizen or Permanent Resident, physically based in Singapore
  2. You must successfully complete the EPAT programme (including passing all relevant assessments and examinations) in order to be eligible
  3. You must attend at least 75% of the training For more details, please book a call with a counsellor
Singapore Citizens or Singapore Permanent Residents, physically based in Singapore are eligible for STS funding, given they meet the defined criteria. Find out more on www.ibf.org.sg.
No, you cannot claim any other grant if you are claiming this subsidy from IBF. You should not be claiming for any other grants, subsidies, or tax concessions, provided either by the Financial Sector Development Fund (FSDF) and/or Singapore government agencies, unless explicitly permitted.
Batch deferment and self-study is not allowed for participants applying for grants from IBF-STS. You need to complete the programme by writing examinations being conducted with your batch.
As per the process, you need to confirm your application for the IBF-STS grant before you enroll into the programme, as the same needs to be communicated to the IBF-STS team at the time of batch registration.
The grant would be rejected, if you fail to meet the 50% score criterion. In which case, you would be required to pay the balance amount.
The programme works on a Nett fee model, i.e. you need to pay only the difference between the fee, and the funding amount at the time of enrollment. QuantInsti will claim the funding amount from IBF-STS on completion of the programme. In case you fail to complete the programme with the required score in programme, or if the claim raised by QuantInsti is rejected by IBF, then you are liable to pay the funding amount to QuantInsti.

Inquire for EPAT

Book a Call
https://accounts.quantinsti.com .quantinsti.com https://blog.quantinsti.com Qu@antinsti https://www.quantinsti.com US 1 AIzaSyBTqDx8A968XnUFwo49VgqIxiGhgL9C40I https://quantra.quantinsti.com/courses https://www.classmarker.com/online-test/ false AD,AT,BE,HR,EE,FI,FR,DE,GR,IE,IT,LV,LT,LU,MT,MC,ME,NL,PT,SM,SK,SI,ES GTM-K8LHN6N 13692 false