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Advanced Programme in Quantitative Finance (APQF1)
Indian Institute Of Management Bangalore

Advanced Programme in Quantitative Finance (APQF1)

Indian Institute Of Management Bangalore, Bangalore
HomeFinanceIndian Institute Of Management BangaloreAdvanced Programme in Quantitative Finance (APQF1)
12 monthsDuration
hybridFormat
EnglishLanguage
FinanceTopic

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Nov 2, 2026 - Sep 25, 2027
12 months · hybrid · Instructor-Led · Bangalore Campus | Online
Open
$5,749

All-inclusive program fee

About This Program

Advanced Programme in Quantitative Finance (APQF) blends mathematical and statistical techniques with financial markets using practical examples and hands on market applications. It will prepare participants with practical financial market quantitative applications along with theory behind the models & methods. The program will utilize market software products and packages such as Bloomberg to produce market scenarios in financial instrument pricing and risk measurement. The participants will get equipped with software techniques used in econometric modelling, Quantitative Finance Models and Machine Learning. Participants will produce applicable results while working on their capstone project. Program objectives: fill in the gap between pure theoretical study and practical market application with financial software-based case studies and examples; impart entry to mid-level market practitioners with theoretical and practical knowledge of quantitative techniques used in the financial markets; fill in the demand from the market for trained analyst, trader and risk management experts; give theoretical knowledge with online lectures followed by on-campus personal training.

Why Indian Institute Of Management Bangalore?

IIM Bangalore occupies a position in Indian management education that no other institution quite replicates — a school shaped by a post-Independence nation-building mandate that has since grown into one of Asia's most respected research and leadership institutions. Its executive education programs draw participants from across India's most consequential industries, from Bengaluru's technology corridor to Mumbai's financial sector, and bring them into contact with faculty who are as likely to be publishing in top-tier academic journals as advising a government ministry.

Your Profile

  • Mid-career professionals, preferably with at least two years of work experience, who aim to apply quantitative models and interpret market data for real-world financial decision-making in a dynamic and regulated market environment.

Benefits

  • Price and risk-manage financial instruments across FX, fixed income, credit, and commodity markets using quantitative models.
  • Design and script custom financial instruments using Bloomberg's built-in tools and payoff scripting interface.
  • Apply machine learning approaches to financial market data analysis and trading decisions.
  • Build a capstone project producing a financial instrument or book analytics with full valuation.

What You'll Learn

  • 1. Market Microstructure: Global Capital Markets - FX, Fixed Income, Credit, Commodities; Marketplaces - OTC and Exchanges; Trading Mechanics
  • 2. Basic Econometrics: Statistical Models and Market Data; Primer on Econometric Models; ARMA to GARCH Models; Curve Bootstrapping Techniques (SOFR); Volatility Models - Implementing GARCH; Market Spreads and Correlations
  • 3. Theory of Financial Instruments: Cash and Derivatives Instruments; FX and NDF; Bonds - Sovereigns, Corporates, Inflation Linked; Bond Forwards; Forwards, Futures, Swaps; Vanilla & Exotic Options; CDS, TRS, CLO
  • 4. Valuation Models: Pricing Models - Deterministic & Stochastic; Closed Form Models - Linear Instruments; Simulation Models - Non-Linear Instruments; Pricing a Spread Option; Model Comparison and Selection
  • 5. Financial Instruments: Detailed mechanics of instruments - cash flows & sensitivities; Pricing and Greeks
  • 6. Financial Instrument Design with Bloomberg: Bloomberg Built-in Instruments; Swaps and Options; Custom Instrument Design; FX & Interest Rate Structures
  • 7. Financial Instrument Payoff Scripting: Design a Custom Financial Instrument; Bloomberg Scripting Interface; Payoff Logic & Structures
  • 8. Financial Instrument Analytics: Hedging & Risk Management; Derivatives Book Analytics; Book Management Basics
  • 9. Trading & Sales Desk Management: Hedging in the Marketplace; Quoting Pricing Levels; Sales & Trade Management; Hedge Cost & Credit Charge; CSA Agreements
  • 10. Model Risk: Model Risk Framework; Risk Measurement & Minimization; Model Validation
  • 11. Machine Learning: Introduction to Machine Learning; Approaches & Models; Applications to Financial Markets
  • 12. Accounting: Accounting of Derivatives Book
  • 13. Capstone Project: Design a Financial Instrument or Book Analytics with Valuation

Frequently Asked Questions

How to Apply

  1. 1

    Check your eligibility

    Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

  2. 2

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  3. 3

    Contact the school

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  4. 4

    Prepare your application

    Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

  5. 5

    Submit your application

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