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Certificate Program in
Quantitative Finance and Risk Management (CPQFRM)

Build your career in Quant and Risk Management

Live Online Instructor-led Weekend Program
Financial Risk Management Course Online Financial Risk Management Courses

Quick Facts

  • Program Duration
  • Program Schedule
  • Program Timing
  • Program Start Date

CPQFRM Program Highlights

  • World Class Faculty: Learn from highly acclaimed Quant practitioners and Risk Management experts who have worked with topmost global investment banks and firms in New York, London, Singapore, Sydney and more, with academic background from some of the world’s top universities like Stanford (USA), Columbia (USA), IIM, IIT, ISI.
  • Industry focused curriculum: Advanced curriculum designed by Quant and Risk Management practitioners from top Wall Street Investment Banks and financial institutions and industry experts to prepare job-ready professionals who are highly sought after by MNC Investment Banks, Commercial Banks, Asset Management Companies, Consulting Firms and other Financial Institutions.
  • Rigorous Practical Implementation: Strong emphasis on practical implementation in Python and knowledge of the real-world application areas.

About the Course

Quantitative Finance is the discipline that deals with the application of mathematics, statistics, computer programming and physics in solving problems in the areas of high-end finance and investments. The field of Quantitative Finance is relatively new in India. IIQF is the first Institute in India to introduce specialized programs in Quantitative Finance & Financial Risk Management.

This program aims to prepare professionals for careers in quantitative investment management, financial risk management, portfolio management, financial software & systems, financial consulting services, etc. Even experienced risk management professionals who have the theoretical background of the risk management models, find their skills to be inadequate when it comes to implementing the models. For them having a theoretical background is not enough to actually implement these models in practice. This is why we have designed this course tailor-made for imparting these skills. This program is designed for people who want to move into risk management or derivative valuations fields and want to learn to develop applications related to these areas.

The CPQFRM (Lateral Entry) course involves hands-on implementation of various risk and pricing models that are used in the industry. The purpose of this course is to give the participants exposure to practical aspects of quantitative finance as applied in the industry. The course will enable the participants to learn how to apply their theoretical knowledge in practical applications. Leading practitioners from the financial risk management field in India will teach the course. This program will also help prepare the candidates to appear for the FRM® and PRM examinations.

This is an implementation-oriented course in which practicing Risk Modellers, Investment Bankers and Treasury Professionals teach the latest valuation techniques and risk modeling skills that are used in the industry. This course starts with learning basic tools and theories related to the field and goes on to learning implementation of valuation models of derivative instruments of various asset classes using the models being used in the industry and then learning to carry out risk analysis and implement various risk models for various asset classes.

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Why choose CPQFRM Training Program?

View what our learners have to say...


Quantitative Finance and Risk Management

Modern Investment Finance is hugely dependent on the implementations of the theories and techniques of financial engineering. Financial Engineering, or Quantitative Finance as it is alternately known, is a multidisciplinary field involving the application of theories from financial economics, physics, mathematics, probability, statistics, operations research and econometrics using the methods and tools of engineering and the practice of computer programming to solve the problems of Investment Finance.

Generally the language of choice for Quant implementations traditionally has been C++ along with tools like Matlab, Mathematica, Stata, etc. However, of late Python language has become more popular.

Quantitative Finance and Risk Management has emerged as a very prospective career prospect for people with strong mathematical background like those coming from engineering, mathematics, statistics, physics or econometrics background. The best of the global financial institutions like Investment Banks, Hedge Funds, etc. hire people having strong quantitative skills for “Quant” jobs. This is also a very rewarding and exciting career option for such people as there is ample scope for applying their numerical and creative skills to design new things, be it like devising new investment strategies or be it structuring new financial instruments or be it finding methods to value them. They are continuously competing with their peers and some of the best minds in the market and have to out-perform them to generate superior returns, which is intellectually a very challenging work, and this makes it all the more thrilling.

Brief Course Outline

  • Primer 1
    Introduction to Programming (Optional)
    • Programming in Python
  • Module 201
    Introduction to Investment Finance(Compulsory)
    • Financial Markets and Products
    • Financial Economics
    • Fundamentals of Fixed Income Instruments
    • Fixed Income Mathematics
    • Derivatives Products and Strategies
    • Financial Institutions
  • Module 202
    Introduction to Financial Mathematics (Compulsory)
    • Linear Algebra
    • Calculus Review
  • Module 203
    Introduction to Probability & Statistics(Compulsory)
    • Probability Theory
    • Probability Distributions
    • Descriptive and Inferential Statistics
  • Module 204
    Machine Learning for Quantitative Finance (Compulsory)
    • Introduction to Machine Learning
    • Supervised Learning
      • Regression Models
      • Time Series Models
      • Volatility Forecasting
    • Unsupervised Learning
  • Module 205
    Stochastic Processes (Compulsory)
    • Basic Stochastic Processes
  • Module 206
    Numerical Methods (Compulsory)
    • Monte Carlo Simulation
  • Module 207
    Derivatives Valuations (Compulsory)
    • Implementing Equity Options Pricing
    • Implementing Currency Derivatives Pricing
    • Implementing Interest Rate Derivatives Pricing
  • Module 208
    Risk Analytics 1 (Compulsory)
    • Introduction to Financial Risk Management
    • Market Risk Management
    • Credit Risk Management
  • Module 209
    Risk Analytics 2 (Compulsory)
    • Operational Risk Management
    • Liquidity Risk Management
    • Investment Portfolio Management

Admission Process

  • Apply for the Program (fill-up the registration form)

  • Get on a call with a counsellor

  • Wait for Application Acceptance

  • Pay the fee & join the upcoming batch

Finance your Study

Educational Loans

We are very happy to help you progress to greater heights in your career in every way possible. Education loans available at 0% interest for full time Indian residents. Easy EMI plans available.

Student Aid

Encourages the full time students to enter this domain, benefits, if you are still pursuing formal education.

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Get Answers

  • What are the prerequisites for this program?

    For Indian Participants – Minimum Graduation in science / economics / commerce / engineering / management (students in Final Year of Graduation may also may apply) with mathematics as one of the subjects.

    For International Participants – Minimum Graduation or equivalent degree in science / economics / commerce / engineering / management from any recognized University or Institution in their respective country with mathematics as one of the subjects.

    Proficiency in spoken and written English. Working knowledge of Excel Computer and an internet connection. We teach in Windows based platform. Mac users will need to Install Windows in Parallels Desktop for Mac.

  • Is the program suitable for non-programmers?

    Lot of people say, particularly those who do not have a programming background that it is extremely difficult to learn algorithmic trading. There is no denying the fact that if someone is technically sound then it is imperative that he will learn the techniques of algo trading much faster and they have a higher chance of succeeding in this field.

    While the truth is that though this is something not very easy to learn particularly for non-programmers, however if taught in a right way and in right context it is not impossible as well provided the learner is serious enough and given the modern tools that are available at ones disposal nowadays. What is required is serious and sincere effort and a zeal to learn.

    For participants who do not have a programming background, they will need to attend a primer module on basic Python Programming. For registered participants of the course, the access to the lecture recordings for the Python Primer module will be provided free of cost.

    The Python primer module is designed for people who do not have any kind of prior programming background and want to learn programming for developing applications related to finance. The aim of this program is to teach python in an easy, lucid and structured way so that people coming from even no-technical or non-programming background can learn and use the python language.

  • Is the program suitable for people having no background in finance?

    While any prior knowledge is always useful, however the course has been designed in a way that even people having no knowledge of finance can attend and learn from this program.

    The program includes modules on relevant areas of basic finance like theories of technical analysis, charting, financial markets, derivatives, option strategies etc. theories are brushed-up before we go into the advanced areas.

    The course is taught in an easy, lucid and structured way. We teach from basic to advanced levels in a way where people with limited background can also pick-up the skills.

  • Who should attend?

    If you are someone who is interested in making a career as a trader, whether you wish to take-up a job or you wish to trade on your own, then learning Algorithmic Trading is no longer a matter of choice it is almost a compulsion now.

    We have built this course with aim to teach Algo Trading to participants of all kinds of background, the only criteria are that the participant should have a zeal to learn.

    Whatever is your background, if you are someone who wants to learn Algo Trading and either work in an International Bank, Hedge Fund or Prop Desks or you wish to trade on your own or you wish set-up your own trading desk, we offer you the right course to fulfil all your requirements.

    It can be done by Finance, Banking, IT and other Professionals, Dealers, Arbitrageurs, Prop Traders, Retail Traders – those who aspire to become Algo Traders and work for the trading teams of International Banks, Hedge Funds, Prop Desks of Brokers or Analytics teams of Consulting Firms or IT Companies.

    Also, students from Engineering, Mathematics, Statistics, Economics, Finance, Commerce etc. background who aspires to work in International Banks, Hedge Funds, Prop Desks etc. in advanced Trading/Algo Trading roles. should do this course.

  • Why you should attend this program?

    • Highly qualified Industry Practitioner faculty
    • Covers end-to-end all aspects of Algo-trading, starting from strategy development, extensive back-testing, optimization, order management, risk management, error handling, platform integration
    • Training on industry leading algorithmic trading platform
    • Free access to Python Programming for Finance course - worth Rs 8000
    • Lifetime placement support for all participants
    • Hands-on training in Programming Algo-trading strategies in Python
    • We don’t believe in template-based teaching, our lectures cover hands-on implementation from scratch during the lectures.
    • Taught in an easy, lucid and structured way
    • We teach from basic to advanced levels in a way where people with limited background can pick-up the skills
    • Post Course support – We believe in imparting complete learning and offering support even after the course gets over

  • How is the course delivered?

    This program is conducted as a comprehensive online course offered via online live interactive lecture sessions on weekends. All lectures are recorded also and participants gets access to view the lecture recordings as well.

  • What is covered in the course?

    All aspects of Algo Trading, starting from strategy development, coding trading strategies in Python, extensive back-testing, optimization, order management, risk management, error handling and integration with a trading platform. You also get to learn Quantitative Algorithmic Strategies and Machine Learning for Quantitative Trading Using Python.

    Training is provided on industry leading algorithmic trading platform.

    We don’t believe in template-based teaching, our lectures cover hands-on implementation of the entire development of algo cycle from scratch during the lectures.

    The course has a very advanced curriculum designed by Traders and Quant practitioners from top Wall Street Investment Banks and financial institutions and industry experts to prepare job-ready professionals.

  • Who are the faculty?

    The course is taught by Top-notch Traders, Quant Practitioners and Industry Experts from International Banks and Hedge Funds. The faculty team consists of leading traders and domain experts with top class education background from IIT’s, IIM’s and Ph.D.'s from top institutes.

  • What is the post course support?

    We believe in imparting complete learning and we offer support even after the course gets over. You get whole-hearted support not only during the course but after the completion of the course as well. Our faculty team goes out of their way to extend all possible help to serious learners. You can email us with your doubts and queries and you will be connected to the appropriate faculty for solving your doubts and queries.

    Will certificate be awarded on completion of the program? What are the certification criteria?

    The participant becomes eligible to get the certificate on completion of a capstone project that is given at the end of the program, participants who attend and follow all the lectures should be able to complete the project. So, to get the certificate you will also have to complete and submit the project.

  • Is there any placement support?

    We have dedicated placement team who provides strong support to all successful participants for getting relevant jobs in International Banks, Hedge Funds and Trading Desks of other financial institutions.

    You may work as Quant Trader, Algo Trader, Consultant, Domain expert and lead Quant and Trading Teams of International Banks, top Hedge Funds, Proprietary Trading Desks, Fund Managers and or fortune 500 Financial Consulting Firms and Leading IT Companies.

  • What is the course calendar?

    This course is offered 3 times in a year.

  • How long has this programme been around for?

    The first cohort of this program commenced in 2013.

  • What programming language does this program use?

    This program is entirely taught using Python. It provides complete hands-on training in Programming Algo-trading strategies in Python

  • What mode of payments do you accept?

    We accept all online payment modes like Bank Transfer, Credit Card, Debit Card, UPI

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