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FINANCE ACCOUNTING   

Financial Derivatives and Quantitative Finance Training

Hands-on Financial Derivatives & Quantitative Finance Masterclass

Build practical skills in financial derivatives, options, futures, swaps, quantitative modeling, and risk management. Learn through real-world market case studies and hands-on exercises to develop career-ready expertise in derivatives trading, pricing, and quantitative financial analysis.

financial-derivatives-and-quantitative-finance-training
Course Overview
  

Course Overview

Financial derivatives and quantitative finance play a critical role in modern investment management, risk mitigation, trading, and financial decision-making. Banks, investment firms, hedge funds, asset management companies, and financial institutions rely on quantitative techniques to price derivatives, measure financial risk, optimize portfolios, and support strategic investment decisions. Professionals with expertise in derivatives, mathematical finance, and quantitative analytics are increasingly in demand across global financial markets.

The Financial Derivatives and Quantitative Finance Training by myTectra is a comprehensive instructor-led program designed to equip participants with practical expertise in financial derivatives, quantitative finance, arbitrage, futures, forwards, swaps, options, stochastic processes, derivative pricing, portfolio management, quantitative risk analysis, and financial modeling. Participants will also gain hands-on experience using Microsoft Excel for derivative pricing models, quantitative analysis, financial simulations, dashboards, and reporting, along with an introduction to Python and AI-powered financial analytics.

Through instructor-led sessions, practical quantitative finance workshops, Excel-based modeling exercises, derivative pricing simulations, real-world investment banking case studies, AI-driven financial analytics demonstrations, and a comprehensive capstone project, participants will develop the practical skills required to build quantitative financial models, analyze derivative instruments, manage portfolio risk, and make data-driven investment decisions.

Course Objectives

Upon successful completion of this training, participants will be able to:

  • Understand financial derivatives and quantitative finance fundamentals.
  • Analyze forwards, futures, swaps, and option contracts.
  • Apply arbitrage principles and derivative pricing techniques.
  • Build quantitative models for financial analysis and valuation.
  • Evaluate portfolio performance and investment risk.
  • Perform quantitative risk analysis using industry-standard methods.
  • Develop derivative pricing models using Microsoft Excel.
  • Explore Python and AI applications in quantitative finance.
  • Design effective hedging and portfolio optimization strategies.
  • Support investment and trading decisions using quantitative analytics.

Prerequisites

Recommended:

  • Basic understanding of finance and investment concepts
  • Familiarity with financial markets
  • Basic knowledge of mathematics and statistics
  • Working knowledge of Microsoft Excel

Prior programming knowledge is beneficial but not mandatory.

Target Audience

This course is ideal for:

  • Financial Analysts
  • Investment Analysts
  • Portfolio Managers
  • Risk Analysts
  • Treasury Professionals
  • Traders
  • Equity Research Analysts
  • Quantitative Analysts
  • Investment Banking Professionals
  • Asset Management Professionals
  • Financial Engineers
  • FinTech Professionals
  • MBA Finance Students
  • CFA and FRM Aspirants
  • Commerce Graduates
  • Professionals pursuing careers in capital markets and quantitative finance

Training Methodology

  • Instructor-Led Interactive Sessions
  • Hands-on Quantitative Finance Workshops
  • Microsoft Excel Practical Labs
  • Derivatives Pricing Simulations
  • Financial Modeling Exercises
  • Real-World Capital Market Case Studies
  • Python Demonstrations for Financial Analytics
  • AI-Based Quantitative Finance Sessions
  • Capstone Project with Practical Assessment
  • Interactive Question-and-Answer Discussions

Tools Covered

  • Microsoft Excel
  • Financial Modeling Templates
  • Black-Scholes Pricing Models
  • Monte Carlo Simulation Models
  • Portfolio Optimization Worksheets
  • PivotTables and PivotCharts
  • Goal Seek and Solver
  • Python (Introduction)
  • NumPy and Pandas (Fundamentals)
  • AI-Powered Financial Analytics Concepts

Key Benefits

  • Master financial derivatives used across global capital markets.
  • Develop quantitative models for pricing and risk management.
  • Learn practical option valuation using Black-Scholes techniques.
  • Build advanced Excel models for financial analysis and reporting.
  • Understand portfolio optimization using modern finance theories.
  • Apply quantitative risk analytics for better investment decisions.
  • Explore Python and AI applications in quantitative finance.
  • Gain practical experience through real-world market case studies.
  • Strengthen careers in investment banking, trading, and risk analysis.
  • Build industry-ready skills for quantitative finance and FinTech roles.
  

Course Outcomes

After completing this course, participants will be able to:

Understand derivative markets and quantitative finance.
Understand derivative markets and quantitative finance.
Price derivatives using quantitative valuation models.
Price derivatives using quantitative valuation models.
Build risk models to evaluate market performance.
Build risk models to evaluate market performance.
Apply arbitrage principles to identify pricing opportunities.
Apply arbitrage principles to identify pricing opportunities.
Analyze options using Greeks and volatility techniques.
Analyze options using Greeks and volatility techniques.
Create quantitative financial models using Microsoft Excel.
Create quantitative financial models using Microsoft Excel.
Perform portfolio optimization and investment analysis.
Perform portfolio optimization and investment analysis.
Apply Python and AI tools for financial analytics.
Apply Python and AI tools for financial analytics.
Develop hedging strategies for financial risk management.
Develop hedging strategies for financial risk management.
Solve derivatives and investment banking case studies.
Solve derivatives and investment banking case studies.
  

Course Outline

Module 1: Introduction to Financial Derivatives and Quantitative Finance

Topics Covered

  • Course Introduction
  • Overview of Financial Markets
  • Financial Derivatives Fundamentals
  • Quantitative Finance Overview
  • Market Participants
  • Types of Financial Instruments
  • Time Value of Money
  • Financial Mathematics Basics
  • Applications of Quantitative Finance
  • Emerging Trends in FinTech

Practical Workshops

  • Understand derivative market structure
  • Analyze financial instruments
  • Calculate time value of money
  • Explore quantitative finance applications
Module 2: Financial Mathematics and Quantitative Foundations

Topics Covered

  • Financial Mathematics Fundamentals
  • Probability Concepts
  • Statistical Distributions
  • Expected Return
  • Variance and Standard Deviation
  • Correlation and Covariance
  • Regression Analysis
  • Random Variables
  • Matrix Fundamentals
  • Numerical Methods

Practical Workshops

Develop:

  • Probability models
  • Statistical analysis
  • Return calculations
  • Risk measurement worksheets
Module 3: Arbitrage Pricing Theory

Topics Covered

  • Arbitrage Fundamentals
  • Law of One Price
  • Cash-and-Carry Arbitrage
  • Reverse Cash-and-Carry Arbitrage
  • Synthetic Positions
  • Pricing Relationships
  • No-Arbitrage Conditions
  • Market Efficiency
  • Risk-Free Pricing
  • Practical Arbitrage Applications

Practical Workshops

Perform:

  • Arbitrage calculations
  • Pricing comparisons
  • Synthetic portfolio creation
  • Trading opportunity analysis
Module 4: Forwards, Futures, and Swaps

Topics Covered

  • Forward Contracts
  • Futures Contracts
  • Contract Specifications
  • Margin Requirements
  • Mark-to-Market Process
  • Commodity Futures
  • Currency Futures
  • Interest Rate Futures
  • Swap Contracts
  • Hedging Applications

Practical Workshops

Build:

  • Futures pricing models
  • Hedging strategies
  • Swap valuation worksheets
  • Risk analysis reports
Module 5: Stochastic Processes and Asset Price Modeling

Topics Covered

  • Random Walk Theory
  • Brownian Motion
  • Geometric Brownian Motion
  • Wiener Process
  • Stochastic Differential Equations
  • Asset Price Modeling
  • Volatility Modeling
  • Lognormal Distribution
  • Risk-Neutral Valuation
  • Financial Simulations

Practical Workshops

Develop:

  • Asset price simulations
  • Volatility analysis
  • Stochastic models
  • Risk-neutral calculations
Module 6: Options and Option Pricing

Topics Covered

  • Option Fundamentals
  • Call Options
  • Put Options
  • Option Payoffs
  • Option Strategies
  • Intrinsic Value
  • Time Value
  • Option Pricing Concepts
  • American vs European Options
  • Practical Applications

Practical Workshops

Calculate:

  • Option payoffs
  • Profit and loss diagrams
  • Trading strategies
  • Option valuation exercises
Module 7: Black-Scholes Model and Option Greeks

Topics Covered

  • Black-Scholes Pricing Model
  • Binomial Option Pricing Model
  • Delta
  • Gamma
  • Theta
  • Vega
  • Rho
  • Implied Volatility
  • Volatility Smile
  • Model Assumptions and Limitations

Practical Workshops

Build:

  • Black-Scholes pricing models
  • Greeks calculators
  • Volatility analysis reports
  • Option sensitivity models
Module 8: Hedging and Derivative Trading Strategies

Topics Covered

  • Hedging Fundamentals
  • Portfolio Hedging
  • Delta Hedging
  • Protective Put Strategy
  • Covered Call Strategy
  • Collar Strategy
  • Spread Strategies
  • Straddles and Strangles
  • Risk Management Techniques
  • Trading Best Practices

Practical Workshops

Design:

  • Hedging strategies
  • Portfolio protection plans
  • Option trading strategies
  • Risk mitigation models
Module 9: Fixed Income and Interest Rate Derivatives

Topics Covered

  • Fixed Income Securities
  • Bond Pricing and Valuation
  • Yield Curves and Term Structure
  • Duration and Convexity
  • Interest Rate Risk
  • Interest Rate Futures
  • Interest Rate Swaps
  • Forward Rate Agreements (FRAs)
  • Credit Default Swaps (CDS)
  • Fixed Income Portfolio Applications

Practical Workshops

Develop:

  • Bond pricing models
  • Duration analysis
  • Interest rate derivative valuation
  • Fixed income risk reports
Module 10: Quantitative Risk Management

Topics Covered

  • Market Risk
  • Credit Risk
  • Liquidity Risk
  • Operational Risk
  • Value at Risk (VaR)
  • Expected Shortfall
  • Stress Testing
  • Scenario Analysis
  • Risk Limits and Monitoring
  • Enterprise Risk Management

Practical Workshops

Perform:

  • VaR calculations
  • Stress testing exercises
  • Scenario analysis
  • Risk reporting
Module 11: Portfolio Theory and Optimization

Topics Covered

  • Modern Portfolio Theory (MPT)
  • Efficient Frontier
  • Capital Asset Pricing Model (CAPM)
  • Beta and Systematic Risk
  • Portfolio Diversification
  • Portfolio Optimization
  • Asset Allocation Strategies
  • Performance Measurement
  • Sharpe, Treynor, and Jensen Ratios
  • Portfolio Rebalancing

Practical Workshops

Build:

  • Optimized investment portfolios
  • Asset allocation models
  • Portfolio performance reports
  • Risk-return analysis
Module 12: Microsoft Excel for Quantitative Finance

Topics Covered

  • Financial Modeling in Excel
  • Advanced Excel Functions
  • Derivative Pricing Models
  • Monte Carlo Simulation
  • Goal Seek and Solver
  • PivotTables and PivotCharts
  • Financial Dashboards
  • VBA Fundamentals
  • Data Visualization
  • Automated Financial Reports

Practical Workshops

Create:

  • Pricing models
  • Risk dashboards
  • Financial simulations
  • Automated reports
Module 13: Python and AI in Quantitative Finance

Topics Covered

  • Python for Financial Analysis
  • NumPy Fundamentals
  • Pandas for Financial Data
  • Data Visualization
  • Financial Time Series Analysis
  • Algorithmic Trading Concepts
  • Machine Learning in Finance
  • AI-Based Risk Analytics
  • FinTech Applications
  • Future of Quantitative Finance

Practical Workshops

Explore:

  • Python financial models
  • Market data analysis
  • AI-driven forecasting
  • Quantitative analytics
Module 14: Real-World Quantitative Finance Case Studies

Topics Covered

  • Equity Derivatives Case Study
  • Commodity Derivatives
  • Currency Derivatives
  • Fixed Income Trading
  • Investment Banking Applications
  • Hedge Fund Strategies
  • Portfolio Risk Management
  • Trading Simulations
  • Industry Best Practices
  • Lessons Learned

Practical Workshops

Analyze:

  • Trading case studies
  • Portfolio strategies
  • Risk scenarios
  • Investment decisions
Module 15: Advanced Quantitative Modeling

Topics Covered

  • Monte Carlo Simulation
  • Time Series Forecasting
  • Volatility Forecasting Models
  • Multi-Factor Risk Models
  • Quantitative Trading Signals
  • Financial Engineering Concepts
  • Model Validation Techniques
  • Basel Risk Framework
  • Regulatory Compliance
  • Emerging Trends in Quantitative Finance

Practical Workshops

Develop:

  • Quantitative models
  • Forecasting simulations
  • Risk models
  • Financial engineering solutions
Module 16: Capstone Project – End-to-End Derivatives Pricing and Quantitative Risk Analysis

Comprehensive Industry Project

Participants will:

  • Build pricing models for forwards, futures, options, and swap contracts.
  • Apply Black-Scholes and Binomial models to value derivative instruments.
  • Calculate Option Greeks and analyze price sensitivity under varying market conditions.
  • Develop hedging strategies to reduce portfolio and market risks.
  • Perform portfolio optimization using Modern Portfolio Theory (MPT) and CAPM.
  • Conduct quantitative risk analysis using Value at Risk (VaR), Expected Shortfall, stress testing, and scenario analysis.
  • Create Microsoft Excel-based derivative pricing models, financial dashboards, simulations, and risk reports.
  • Analyze financial market data using Python libraries and AI-powered financial analytics techniques.
  • Evaluate trading opportunities using stochastic processes, volatility modeling, and quantitative investment strategies.
  • Present a complete quantitative finance solution covering derivative pricing, portfolio optimization, risk management, and investment decision-making.

Join the Course Now!
  

Clients Testimonials

Hear what our learners say about myTectra!

I joined this program to strengthen my understanding of derivatives pricing, and it exceeded my expectations. The trainer explained complex topics like stochastic processes, option Greeks, and Black-Scholes using practical examples that made them much easier to grasp. The Excel exercises and case studies were especially valuable for applying the concepts in real scenarios.
Gokul Nath
Quantitative Analyst
This is one of the most practical finance programs I've attended. Instead of focusing only on formulas, the sessions connected quantitative finance concepts with actual trading, portfolio management, and risk analysis. I now have much more confidence in interpreting derivative strategies and evaluating financial risk in my day-to-day work.
Sharvesh Reddy
Investment Banking Associate
The balance between theory and hands-on learning was excellent. The modules on VaR, portfolio optimization, and hedging strategies gave me insights that I could immediately apply to my projects. The instructors encouraged discussion throughout the course, which made the learning experience engaging and highly relevant.
Tharun Kailesh
Senior Risk Analyst
Derivatives had always been an area I wanted to understand in greater depth, and this course gave me exactly that opportunity. The structured approach, practical modeling sessions, and real market case studies helped me connect financial theory with business decisions. myTectra has designed a program that is useful for anyone working in treasury, investments, or capital markets.
Rohan Patel
Indu Priya Chowdary

Why Choose Us?

Discover key features that set our training apart.

Expert-Led Training

Learn from certified instructors with real-world industry experience.

Hands-On Learning

Practical assignments and projects to build job-ready skills.

Globally Recognized Certificate

Earn a professional certificate to boost your career opportunities.

FAQ's

What is the duration of this course?

The total course duration is 40 hours delivered via instructor-led sessions and practical labs.

Will I get placement assistance?

myTectra is providing 100% placement assistance on our key courses. We help you with the career counselling, Exams on Key courses, Mock Interviews and Technical Interviews Tips.

Landing an interview proves that you have the job-specific skills for the position, but how do your interview skills stack up? Also, Soft skills are often the most important factor in showing you're the best candidate for the job.

Hence we are conducting FREE TRAINING on Soft-Skills worth Rs-25, 000 to all myTectra students which will help you to attend the interviews with more confidence.

What if I miss a class?

You will never miss a lecture at myTectra. You can choose either of the two options:

Classroom Training:

  • If you miss one or few classes we can give a backup class based on trainer and your convenient time. 
  • In case if you miss many classes, we can reschedule your class with upcoming batches or other running batches based on how many courses topics you have completed so far.

Live-Online Training:

  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch.
Can I attend a demo session before enrollment?

Yes. We arrange a free demo for all the courses either in the Classroom or Live-Online demo. Please fill the demo request form below to schedule a free demo.

What if I have more queries?

Just give us a CALL at +918047112411 OR email at support@mytectra.com

What are the payment options?

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email for both classroom training and Online training.

  • Visa Debit/Credit Card
  • American Express and Diners Club Card
  • Master Card
  • PayPal
  • Net Banking/Wire Transfer
  • UPI Payment such as Google Pay, PhonePe, Paytm
  • Cash/Cheque/DD ( Not for Online Training )
Where do the classes take place?

For Individual: 

Classroom Training - Bangalore

Live-Online Training - Globally 

For Corporates: 

Classroom Training - We deliver classroom training for corporate in more than 20 countries. Send us an Enquiry Now!

Online Training - Globally

* All of the classes are conducted live online. They are interactive sessions that enable you to ask questions and participate in discussions during class time. We do, however, provide recordings of each session you attend for your future reference.

Who are the Trainers?

Our Trainer’s are chosen not only for their knowledge and expertise but also for their real-time experience in the respective courses.

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Advance Your Derivatives and Quantitative Finance Skills

Build practical knowledge of financial derivatives, risk modeling, volatility analysis, and quantitative trading techniques.