Columbia University
Financial Engineering and Risk Management Specialization
Columbia University

Financial Engineering and Risk Management Specialization

Advance Your Knowledge in Financial Engineering . Build the fundamentals and technical skills in financial engineering

Martin Haugh
Garud Iyengar
Ali Hirsa

Instructors: Martin Haugh

26,591 already enrolled

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Get in-depth knowledge of a subject
4.6

(300 reviews)

Intermediate level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(300 reviews)

Intermediate level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 1. Valuing options, swaps, forwards, futures, and other complex financial derivatives using stochastic models

  • 2. Develop a systematic, data-driven approach to formulating modeled returns and risks for significant asset classes and optimal portfolios

  • 3. Back test and implement trading models and signals in an active, live trading environment

Details to know

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Taught in English

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  • Learn in-demand skills from university and industry experts
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  • Develop a deep understanding of key concepts
  • Earn a career certificate from Columbia University
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Specialization - 5 course series

Introduction to Financial Engineering and Risk Management

Course 119 hours4.6 (233 ratings)

What you'll learn

Skills you'll gain

Category: Volatility Smile
Category: Computer Programming
Category: Implied Volatility
Category: Synthetic Collateralised Debt Obligation (CDO)
Category: Replicating Strategy

Term-Structure and Credit Derivatives

Course 213 hours4.5 (54 ratings)

What you'll learn

Skills you'll gain

Category: Binomial Distribution
Category: Fixed Income
Category: black scholes model
Category: Swaps and options
Category: Derivatives

Optimization Methods in Asset Management

Course 314 hours4.7 (37 ratings)

What you'll learn

Skills you'll gain

Category: model calibration
Category: modeling and pricing Credit Default Swaps

Advanced Topics in Derivative Pricing

Course 416 hours4.4 (27 ratings)

What you'll learn

Skills you'll gain

Category: Exchange Traded Funds (ETFs)
Category: Value at Risk (VaR)
Category: risk measurements
Category: transaction costs-modeling
Category: Capital Asset Pricing Model (CAPM)

Computational Methods in Pricing and Model Calibration

Course 524 hours4.2 (30 ratings)

What you'll learn

Skills you'll gain

Category: Interest Rate
Category: model calibration
Category: product pricing
Category: option

Instructors

Martin Haugh
Columbia University
7 Courses438,989 learners
Garud Iyengar
Columbia University
7 Courses438,989 learners

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