CPQFRM®

Certificate Program in Quantitative Finance and Risk Management

7 Months: Live Online Instructor-Led Weekend Program
Build your career in Quants & Risk Management

Designed for professionals targeting Risk, Treasury, Model Validation and Derivative Valuation roles.

  • Risk-centric curriculum – Covers practical model implementation for derivative valuation and pricing and for credit, market and liquidity risk, VaR/ES modelling, XVA adjustments, regulatory frameworks and stress-testing used by banks.
  • Bridges theory–practice gap – Focuses on real-world model building in Python: risk engines, scenario generation, back-testing and model validation workflows taught by active risk practitioners.
Earn 30 CPD Credits
*Check for current payment Waiver
Quick Facts
7 Months
Saturdays and Sundays
3:00 PM to 8:00 PM IST
(UTC +5:30)
27-June-2026 (2026 B II)
05-Sept-2026 (2026 B II Lateral Entry)
31-Oct-2026 (2026 B III)
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.
  • CPD-accredited by LIBF: CPQFRM® is officially CPD-accredited by LIBF (formerly the London Institute of Banking and Finance) under their prestigious Accredited CPD Programme initiative.
Inspiring Journeys of Career Transformation
Deepak Mishra, Senior Business Analyst - Leading Software Solutions Company in United Kingdom

Deepak Mishra is currently based in UK. He has more than 15+ years of experience in developing Software Products for the domains of Capital Market, Wealth Management, Life and Pension Insurance (Wrap Products) and Payments.

Godliving Maro - Chief Risk Officer at National Bank of Commerce, Tanzania

He has more than 15 years of experience in risk management and in his earlier assignments has worked as Senior Manager, Risk Compliance at Bank of Africa Tanzania Limited and Business operational Risk Manager at Standard Chartered Bank.

Mr. Kaushik - Risk Analyst - Cleaning Corporation of India

He is a B.Tech graduate in Computer Science, recently completed the CPQFRM course from IIQF. His feedback highlights his learning experience and the value the course has added to his professional growth.

Nihil Kudalkar - Market Risk Consultant - Leading Life Insurance Company in India.

Nikhil Kudalkar has worked extensively in different areas of financial analytics and currently works in the investment risk team for a leading insurance company.

Shubhaditya Dutta - Valuation and Analytics Specialist Quantitative Research Team Deloitte.

Shubhaditya Dutta is a Valuation & Analytics Specialist. He has undertaken Certificate Program in Quantitative Finance and Risk Management (CPQFRM).

Tanya - Senior Analyst, Credit Suisse

Tanya is currently works as a Senior Analyst at Credit Suisse, where she just joined a couple of months back. She is an alumnus of IIQF, previously she was working as an Analyst at Deutsche Bank, where she joined after completing the CPQFRM Program.

Course Calender
CPQFRM®
Certificate Program in Quantitative Finance and Risk Management
7 Months
Program
Saturdays and
Sundays
  • Main Modules 250 Hours (9 Compulsory Modules)
  • Primer 1: Programming in Python
2026 B II
27-Jun-2026
3:00 PM to 8:00 PM (IST)
₹ 168,000 / $ 2,000
Online Live Interactive
Earn 30 CPD Credits
2026 B II Lateral Entry
05-Sept-2026
3:00 PM to 8:00 PM (IST)
₹ 128,000 / $ 1,500
Online Live Interactive
Earn 30 CPD Credits
2026 B III
31-Oct-2026
3:00 PM to 8:00 PM (IST)
₹ 178,000 / $ 2,000
Online Live Interactive
Earn 30 CPD Credits
About the Program

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. The 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.

Faculty
*The faculty listed is indicative only. Instructors may be drawn from our broader teaching pool, and we reserve the right to include faculty members beyond the current pool as required.
Brief CPQFRM® 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
CPQFRM® Career Opportunities
  • Risk management has evolved from static reporting to dynamic, model-driven decision making. With increasing market volatility, regulatory complexity, and data availability, modern financial risk management has become highly quantitative, analytical, and technology-driven. Institutions today rely on advanced models, simulations, and analytics to measure, manage, and mitigate risks across market, credit, liquidity, and operational domains.
  • As a result, banks, financial institutions, and investment firms are actively seeking professionals with strong quantitative skills who can work with risk models, stress testing frameworks, regulatory metrics, and data-driven risk systems. Candidates with backgrounds in engineering, mathematics, statistics, economics, and finance are particularly well-suited for these roles.
  • The CPQFRM® program prepares candidates for careers as quantitative risk analysts, market risk professionals, credit risk analysts, risk modelers, and regulatory risk specialists with institutions such as investment banks, commercial banks, asset management firms, consulting firms, and risk analytics teams
  • Professionals with strong numerical and analytical skills have significant opportunities in this field.
CPQFRM® Mentoring and Career Support

Dedicated Placement Team

Learners become eligible for IIQF’s dedicated placement support after successful capstone submission. The process is structured, guided, and aligned with real industry hiring practices (not a one-time interaction).

Career Readiness & Interview Preparation

Support includes LinkedIn profile optimisation, resume building in the standard IIQF format, in-house screening assessments, expert tips, and mock interviews - preparing candidates for external interviews in quantitative risk management, credit risk modelling, market risk analytics, portfolio risk, stress testing, regulatory risk (Basel / IFRS9), and quantitative risk research roles.

Alumni & Industry Mentorship

Learners are connected to IIQF’s strong alumni network placed across global investment banks, risk management divisions, consulting firms, analytics teams, and financial institutions. Alumni mentors support candidates through one-to-one sessions, sharing practical guidance on role expectations, interviews, and long-term career progression in risk and quantitative finance.

Ongoing Career Support & Market Access

IIQF maintains continuous engagement with both current learners and alumni. Relevant job openings are shared regularly, ensuring sustained access to opportunities across banks, financial institutions, consulting firms, analytics providers, and regulatory-focused organisations.

CPQFRM Frequently Asked Questions (FAQ)
Gernal FAQ

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.

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.

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.

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.

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.

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.

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.

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.

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.

This course is offered 3 times in a year.

The first cohort of this program commenced in 2009.

This program is entirely taught using Python.

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

Interest Free EMI payment option is available through our NBFC partners.
CPQFRM® Admission Process
Counselling Session with IIQF Domain Expert
2
Wait for Application Evaluation & Acceptance
3
Pay the fee & join the upcoming batch
4
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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