Designed for professionals targeting Risk, Treasury, Model Validation and Derivative Valuation roles.
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.
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.
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.
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 is a Valuation & Analytics Specialist. He has undertaken Certificate Program in Quantitative Finance and Risk Management (CPQFRM).
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.
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.
"CFA, MBA from IIM Calcutta and B Tech from IIT Kanpur. He has more than 14 years of experience in Credit Risk, Corporate Finance & Technology and has worked in India, China & Canada in a variety of roles. He is currently working as a Group Executive Vice President - Corporate Banking Risk in a large private sector bank in New Delhi. Earlier he worked with Barclays Bank as AVP – Wholesale Banking Risk Analyst for an INR 20bn portfolio covering Working Capital facilities, Term loans / ECB, Trade Finance and Derivative products."
"MSc. Finance from London Business School, B-Tech from IIT Kanpur. He has more than 15 years of experience in Quantitative analysis and research that includes areas such as Derivatives Pricing, Market and Credit risk and has worked in India, USA & UK in a variety of roles in international banks and consulting firms. His more recent projects over the last 4 years include model risk assessment of counter-party risk models and regulatory stress testing (CCAR, EBA) models for leading investment banks. Further he is a thought leader and a scholar who likes to connect with, influence and inspire his audience through writing, speaking, lecturing and debating and using a world class network of resources that include theories, best practices and subject matter experts.."
"B.Tech from IIT, Kanpur and Executive MBA from IIM Kozhikode. Rupal has a vast experience of more than 12 years in various areas of finance. He currently works as Vice President, Fixed Income at one of the largest International Bank for their Corporate Investment Banking Division. Prior to this he was working as Assistant Vice President at Credit Suisse, Investment Banking Division. He has also been a regular internal trainer in the organizations that he has worked in."
"MBA from IIM-Calcutta, FRM, CFA, BE (NIT Surat), PG Diploma in Securities Law. He is currently working as a GM of one of the top MNC IT Company leading their Risk Management team and Derivative Valuations team. Earlier he was working with one of the top four Wall Street Investment Banks as Credit Analyst where he is responsible for structuring and recommending exposure for fund-based, non fund-based and derivative facilities. He has experience of statistical modelling of short-term interest rates in India. He has been a visiting faculty at leading business schools."
"Edelbert brings over 19 years of experience in banking, asset management and capital markets. He has been a part of the founding team of Yes Asset Management. Some of his earlier assignments have been with ING, Pramerica (Prudential of U.S.A.) and ICICI. He was entrusted the responsibility of starting the Investment Risk function at ING Investments India where he designed and built a formidable system to track and monitor key investment risk parameters thereby making sure that investment managers don't deviate from their scheme objectives. On the back of this achievement, his involvement was sought in projects at the Asia-Pacific level. He has been a member of various investment committees, valuation committees, risk committees and product committees where his inputs were sought in the areas of financial derivatives, investments and risk management. Prior to joining ING, he set up the derivatives and alternate research desk at Ambit Capital, the broking arm of the Ambit group, a leading boutique investment house. Here he crafted successful strategies involving exchange traded futures and options."
"Keshav has done his Btech from IIT Kharagpur. He has also done his CFA and FRM. He currently works as an AVP in a top International Bank. He has worked across various investment banks and financial institutions in the areas of financial modelling, M&A, risk management, risk advisory, derivatives research and financial analysis."
"15 year BFSI Risk Management & Model Implementation Work Ex. Across Corporate, Institutional & Investments Banking. Director in UBS - Risk Modelling & Analytics, Model Risk Management & Control, Chief Risk Office (CRO) Function. MBA-Finance & MSc in Machine Learning & Artificial Intelligence from Liverpool John Moores University (LJMU). Post-Graduate Diploma in Machine Learning & Artificial Intelligence from IIIT-Bangalore. Domain SME on Credit Risk , Derivatives Counterparty Credit Risk, Derivative Pricing, Stochastic Modelling, Stress Testing. ML Expertise (Teaching ML for Quantitative Finance & Risk Management). Financial Prediction (Regression & Classification ) - Lasso/Ridge Regression, CART Decision Trees, Ensemble Learning (Bagging & Boosting) & Support Vector Machines (SVM). Financial Time Series Forecasting - (Recurrent) Neural Networks, RNN-LSTM, RNN-GRU, Hybrid-RNN-LSTM-GRU. Financial Instrument Pricing - Non-Linear & High Dimensional Derivative Pricing using Neural Networks. ML Model Optimization – Hyperparameters Tuning K-Fold Cross-Validation, Stochastic Gradient Descent, Convergence etc. Regulatory & Industry ML Adoption, Challenges & Use Cases – Model Explainibility, Performance Evaluation & Testing."

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).

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.

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.

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.
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.

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