Introduction to Data Science and Quantitative Methods in Risk Management

Description from DukeHub

Introduction to risk management practices in Finance. Students will learn various forms of risks facing a financial institution, including market risk, credit risk, and operational risks, etc. Class discusses how data science and quantitative methods are used to model and measure these risks to make optimal management decisions. The course will involve case studies of failures of large financial institutions. Important focus on ways to manage and hedge risks using derivatives. Introduction to financial products and derivatives, including options, futures, and swaps, etc.

Skills

• data and statisticsdescription: "data science" and 2 more
• financedescription: "finance" and 6 more

AI-resilient: 1 of 5 1/5

• No: Physical, lab or field work
• No: Live work with people
• ✓Yes: Judgment someone is accountable for · "risk"
• No: A craft you practice with your hands or body
• No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

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