Quant Finance and Risk Management Professionals

TFA programs are designed to equip finance professionals with the quantitative and technical expertise required for core roles in quantitative research, asset management, pricing, risk model development and validation, and quantitative investment and risk management. Built on a foundation of hands-on Excel and Python implementation and mathematical rigor, the curriculum emphasizes real-world application with practical spreadsheet and coding implementations through real-time development, validation exercises, regulatory frameworks, and machine learning and AI applications in finance.

01. Python Programming for Finance

M101: Python Fundamentals and Data Structures

M102: Control Flow Statements and Exception Handling

M103: OOP Concepts for Advanced Programming

M104: Data Analytics, Automation, and Multi-Core Processing

M105: Python Integrated Mathematics, Statistics, and Finance

Interview Guide: Python Programming for Quant Finance Professionals

03. Equity Investments and Risk Management

M301: Equity Market Fundamentals and Products

M302: Modeling Volatilities and Vol Surfaces

M303: Portfolio Performance Measurement and Attribution

M304: Risk Methodologies and Portfolio Risk Management

M305: Pricing and Valuation of Equity Derivative Instruments

04. Fixed-Income Investments and Risk Management

M401: Fixed-Income Market Fundamentals and Products

M402: Modeling Term-Structure of Interest Rates

M403: Modeling Rates Using Stochastic Interest Rate Models

M404: Pricing and Valuation of Fixed-Income Securities

M405: Bond Cashflow Mapping Procedures

M406: Risk Methodologies and Portfolio Risk Management

Interview Guide: Fixed-Income Investments and Risk Management

07. Quant Market Risk Management

M701: Introduction to Market Risk Management Fundamentals

M702: Sensitivity Analysis and Hedging Techniques

M703: Scenario Analysis and Portfolio Stress Testing

M704: VaR Methodologies and Portfolio Risk Management

M705: Stressed VaR, Expected Shortfall, and Adv. Measures

M706: Basel and FRTB Regulatory Frameworks

M707: Model Validation, Backtesting, and Performance Assess Interview Guide: Quant Market Risk Management

08. Credit Risk Management

M801: Introduction to Credit Risk Management

M802: Counterparty Credit Risk and Management Strategies

M803: Credit Risk Mitigation through Netting and Collateral

M804: Credit Risk Mitigation through Credit Derivatives

M805: Credit Risk Mitigation and Basel Regulations

M806: Advanced Risk Measures and Exposure Calculation

M807: Securitization in Credit Risk Management

Prerequisites: Excel (Basics) | Duration: ~250 hrs | Mode: Live (Instructor-led) and Recorded (Self-Paced)

Includes: Get Started with Anaconda Navigator: Installation Guide, Introduction to Anaconda Navigator, Introduction to Jupyter Notebook, and Interview Guides