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

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Get in-depth knowledge of a subject
4.6

(349 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

(349 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

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • 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 (272 ratings)

What you'll learn

Skills you'll gain

Category: Probability
Category: Derivatives
Category: Financial Modeling
Category: Mathematical Modeling
Category: Securities Trading
Category: Securities (Finance)
Category: Capital Markets
Category: Futures Exchange
Category: Applied Mathematics
Category: Portfolio Management
Category: Finance
Category: Risk Management
Category: Cash Flows
Category: Equities
Category: Financial Market

Term-Structure and Credit Derivatives

Course 213 hours4.5 (57 ratings)

What you'll learn

Skills you'll gain

Category: Derivatives
Category: Credit Risk
Category: Mortgage Loans
Category: Securities (Finance)
Category: Applied Mathematics
Category: Probability
Category: Capital Markets
Category: Financial Modeling
Category: Microsoft Excel
Category: Risk Management
Category: Portfolio Management
Category: Finance
Category: Financial Market
Category: Investment Banking
Category: Market Data
Category: Securities Trading
Category: Mathematical Modeling

Optimization Methods in Asset Management

Course 314 hours4.7 (41 ratings)

What you'll learn

Skills you'll gain

Category: Portfolio Management
Category: Asset Management
Category: Risk Management
Category: Statistical Methods
Category: Risk Analysis
Category: Investment Management
Category: Statistical Analysis
Category: Financial Analysis
Category: Financial Market
Category: Capital Markets
Category: Market Liquidity
Category: Securities Trading
Category: Market Dynamics
Category: Equities
Category: Market Data

Advanced Topics in Derivative Pricing

Course 416 hours4.4 (29 ratings)

What you'll learn

Skills you'll gain

Category: Derivatives
Category: Risk Modeling
Category: Credit Risk
Category: Risk Management
Category: Mathematical Modeling
Category: Financial Market
Category: Market Dynamics
Category: Financial Modeling
Category: Securities (Finance)
Category: Equities
Category: Probability
Category: Capital Markets

Computational Methods in Pricing and Model Calibration

Course 524 hours4.3 (37 ratings)

What you'll learn

Skills you'll gain

Category: Financial Modeling
Category: Numerical Analysis
Category: Regression Analysis
Category: Estimation
Category: Applied Mathematics
Category: Python Programming
Category: Mathematical Modeling
Category: Data Analysis
Category: Financial Systems
Category: Statistical Modeling
Category: Probability Distribution
Category: Securities (Finance)
Category: Process Optimization
Category: Financial Market
Category: Statistical Analysis
Category: Equities
Category: Financial Trading
Category: Risk Modeling
Category: Market Data
Category: Derivatives

Instructors

Martin Haugh
Columbia University
7 Courses445,212 learners
Garud Iyengar
Columbia University
7 Courses445,212 learners

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