Certificate Program in
Quantitative Finance and Risk Management (CPQFRM)

Build your career in Quant and Risk Management

Live Online Instructor-led Weekend Program

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

The field of Quantitative Finance is also known by other equivalent terms like Computational Finance or Mathematical Finance or Financial Engineering. It 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?

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Faculty

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?

    Undergraduate degree in finance / engineering / mathematics / statistics / physics / economics / econometrics / chartered accountancy / computer science / MBA / CFA / FRM / PRM. Proficiency in spoken and written English. Basic knowledge of Statistics. 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 people having no background in finance?

    While a prior background in finance, particularly knowledge of Financial Markets, Financial Products, etc. will be useful. However, the required areas of finance are taught in the course as well, so participants from non-finance background can also join this course. In fact, at least half of the participants of this program is from non-finance background and they have completed this quite successfully.

  • Is the program suitable for non-programmers?

    We use a lot of Python in this course for teaching practical implementation of the models. So, participants having prior programming background definitely have an advantage.

    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, when you join the course, you get access to a Primer module on Python.

    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 module 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.

  • Who should attend?

    Finance and Banking Professionals – those who aspire to grow into advanced analytical roles in Quant analytics, Derivative Pricing and Valuation, Model Validation, Treasury, Financial Risk Management, Compliance, Risk Consulting etc.

    IT Professionals – those who aspire to work in International Banks, Hedge Funds and other leading Financial Institutions in Quant Analytics or Financial Risk Management domains or wanting to lead projects in IT companies for the above-mentioned domains.

    Risk Management and Consulting Professionals – those who aspire to grow into senior roles by gaining a deeper wholesome knowledge in this fields particularly in the area of quantitative risk management.

    Students – Students from Engineering, Mathematics, Statistics, Economics, Finance, Commerce etc. background who aspires to work in International Banks, Hedge Funds, Consulting firms etc. in advanced analytical roles in Quant analytics, Derivative Pricing and Valuation, Model Validation, Treasury, Financial Risk Management, Compliance, Risk Consulting etc.

  • 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?

    Coverage of relevant theoretical areas of Mathematics, Statistics, Financial Markets and Products, Derivative Instruments, Trading Strategies, Payoffs, Option Greeks etc. Coverage of relevant areas of Machine Learning topics and their practical implementation in Python.

    Machine Learning for Quantitative Finance, Monte Carlo Simulation Methods both theory and implementation in Python. Valuation of Equity Derivatives, Interest Rate Derivatives, Currency Derivatives, Commodity Derivatives, Swaps both deep understanding of the models and learning the practical implementation and modelling in Python. Deep Coverage of Financial Risk Management areas, Market Risk, Credit Risk, Liquidity Risk, Operational Risk, Basel, FRTB, Dodd-Frank, Performance Attribution etc. both theory plus practical modelling.

  • Who are the faculty?

    The course is taught by highly acclaimed Quant and Risk Management practitioners 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), London Business School, IIM, IIT, ISI, etc.

  • 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 set of capstone project assignments that is given at the end of the program, participants who attend and follow all the lectures should be able to complete the project. To get the certificate the participant will 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, Consulting Firms, IT Companies and other financial institutions.

    You may work in Quantitative Research & Analysis, Development of Quantitative & Analytical Software, Building Valuation Models, Model Validation, Derivatives Structuring, Quant Trading, High Frequency Trading, Algorithmic Trading, Derivatives Trading.

  • 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 2009.

  • What programming language does this program use?

    This program is entirely taught using Python.

  • What mode of payments do you accept?

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

  • Is EMI facility available?

    Interest Free EMI payment option is available through our NBFC partners.

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