Financial Engineering and Risk Management Specialization

This specialization is intended for aspiring learners and professionals seeking to hone their skills in the quantitative finance area. Through a series of 5 courses, we will cover derivative pricing, asset allocation, portfolio optimization as well as other applications of financial engineering such as real options, commodity and energy derivatives and algorithmic trading. Those financial engineering topics will prepare you well for resolving related problems, both in the academic and industrial worlds.
WHAT YOU WILL 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
Filter Courses within "Financial Engineering and Risk Management Specialization" (Click to filter)
Term-Structure and Credit Derivatives (Coursera) Coursera
Columbia University

Term-Structure and Credit Derivatives (Coursera)

Dive deep into the fascinating world of financial markets with our Term-Structure and Credit Derivatives course. This course is designed to provide a thorough understanding of interest rate evolution models and credit derivatives. From term structure lattice models to advanced topics like options, futures, swaps, and swaptions, this course covers it all. Whether you're an aspiring quant or looking to enhance your financial expertise, this course will equip you with the knowledge needed to navigate complex fixed income securities and model calibration.

Jul 27th 2026
5-12 Weeks
Introduction to Financial Engineering and Risk Management (Coursera) Coursera
Columbia University

Introduction to Financial Engineering and Risk Management (Coursera)

Embark on a journey into the world of finance with our Introduction to Financial Engineering and Risk Management course. This foundational program is designed for those new to the field, offering insights into critical concepts such as fixed income securities, derivatives, and advanced pricing models. Gain a strong grasp of probability and optimization techniques that are essential for navigating financial markets.

Jul 27th 2026
5-12 Weeks
Optimization Methods in Asset Management (Coursera) Coursera
Columbia University

Optimization Methods in Asset Management (Coursera)

Dive into the world of Optimization Methods in Asset Management with this comprehensive online course. Designed for finance professionals and students alike, this course explores essential topics such as portfolio construction, risk management, and the application of advanced analytical tools like Mean-Variance Analysis and Capital Asset Pricing Model (CAPM). Gain practical insights into optimizing your investment strategies and managing risks effectively.

Jul 27th 2026
5-12 Weeks
Computational Methods in Pricing and Model Calibration (Coursera) Coursera
Columbia University

Computational Methods in Pricing and Model Calibration (Coursera)

Dive into the world of financial modeling with our Computational Methods in Pricing and Model Calibration course. This course is designed to equip you with advanced techniques for accurately pricing options and calibrating models, essential skills for professionals in quantitative finance. Learn from expert instructors and apply your knowledge through practical exercises using Python.

Jul 27th 2026
5-12 Weeks
Advanced Topics in Derivative Pricing (Coursera) Coursera
Columbia University

Advanced Topics in Derivative Pricing (Coursera)

Dive into the intricate world of derivative pricing with our Advanced Topics in Derivative Pricing course. This course is designed to provide a deep understanding of key models and strategies used in financial markets today. From the foundational Black-Scholes model to advanced concepts like Greeks (delta, gamma, theta, vega, rho), you'll gain valuable insights into how derivatives are priced and managed.

Jul 27th 2026
5-12 Weeks
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