Senior Associate, Data Scientist - Model Risk Office

Discover Financial
Richmond, Chicago
Full timeUSD 135,600 - 154,800 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Communication with executives","Problem-solving","Innovation","Creativity","Technical curiosity"]

Build and validate machine learning models for model risk governance, partnering with data scientists, software engineers, and product managers to identify and quantify model-related risks. Use a modern AI stack—including PyTorch, Hugging Face, LangChain, vector databases, and LLMOps—to extract insights from multi-modal data. Challenge production “champion models,” support enterprise domains, and communicate risk impact to executives.

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Discover Financial
Discover Financial
1 month ago

Senior Associate, Data Scientist - Model Risk Office

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Last checked: 6 hours agoStatus: Live

Job Summary

Build and validate machine learning models for model risk governance, partnering with data scientists, software engineers, and product managers to identify and quantify model-related risks. Use a modern AI stack—including PyTorch, Hugging Face, LangChain, vector databases, and LLMOps—to extract insights from multi-modal data. Challenge production “champion models,” support enterprise domains, and communicate risk impact to executives.
Location: Richmond, Chicago
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with cross-functional teams to identify and quantify risks associated with models.
  • •Leverage a broad AI stack to uncover insights from large volumes of multi-modal data.
  • •Build ML models to challenge production “champion models” and support model governance for next-generation models.
  • •Validate models across multiple enterprise domains within Enterprise Services.
  • •Present how identified model risks could impact the business to executives.

Pay and Benefits

Salary: USD 135,600 - 154,800 annually
Perks:Health Insurance

Key Requirements

  • •Have (or be in the process of obtaining) a Bachelor’s degree in a quantitative field with 2 years of data analytics experience, or a Master’s degree in a quantitative field (or an MBA with quantitative concentration).
  • •At least 2 years’ experience using Python, Scala, or R for large-scale data analysis.
  • •At least 2 years’ experience with machine learning.
  • •Build, validate, and backtest statistical/ML models, interpreting outputs such as confusion matrices and ROC curves.
  • •Familiarity with AWS and STEM advanced degrees are preferred.
Experience:2+ yearsFinancial servicesModel riskMachine learningOpen sourceGenerative AI
Skills:Communication with executivesProblem-solvingInnovationCreativityTechnical curiosity
Tech Stack:PythonScalaRPyTorchHugging FaceLangChainVector DatabasesLLMOpsAWSCloud computing

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Discover Financial
Provides consumer banking products, credit cards, personal loans, and payment services through the Discover brand. It operates a major U.S. financial network and serves individuals and merchants with lending and digital payment solutions.
Industry: Retail Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10M to 25M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Riverwoods, United States
Founded: 1985
WebsiteLinkedIn