Senior Manager, Data Science - Model Risk Office

Discover Financial
Richmond, New York
Workplace: OnsiteFull timeUSD 229,900 - 262,400 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Mentorship","Leadership","Interpersonal communication","Innovation","Stakeholder collaboration"]

Lead card fraud model risk efforts by building and validating challenger machine learning models across the customer lifecycle, from application to payment. Partner with data scientists, software engineers, and product managers to develop robust oversight for first- and third-party fraud use cases. Use Python and cloud/data tooling to design, train, evaluate, validate, and implement models, while translating technical work into measurable business outcomes and mentoring junior data scientists.

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FursaFursa
Discover Financial
Discover Financial
2 months ago

Senior Manager, Data Science - Model Risk Office

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead card fraud model risk efforts by building and validating challenger machine learning models across the customer lifecycle, from application to payment. Partner with data scientists, software engineers, and product managers to develop robust oversight for first- and third-party fraud use cases. Use Python and cloud/data tooling to design, train, evaluate, validate, and implement models, while translating technical work into measurable business outcomes and mentoring junior data scientists.
Location: Richmond, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-focused outcomes.
  • •Use Python and other technologies (e.g., Conda, AWS, H2O, Spark) to extract insights from large volumes of numeric and textual data.
  • •Build machine learning models across the full lifecycle: design, training, evaluation, validation, and implementation.
  • •Investigate advanced algorithms (graph, neural, tree-based, sequence methods) to create robust challenger models for fraud oversight.
  • •Provide mentorship to junior data scientists while overseeing card fraud model risk.

Pay and Benefits

Salary: USD 229,900 - 262,400 annually

Key Requirements

  • •Bachelor’s degree in a quantitative field plus 7 years of data analytics experience; or a Master’s in a quantitative field (or MBA with quantitative concentration) plus 5 years; or a PhD in a quantitative field plus 2 years.
  • •At least 2 years leveraging open-source programming languages for large-scale data analysis.
  • •At least 2 years working with machine learning.
  • •At least 2 years utilizing relational databases.
  • •Demonstrated model-building and validation skills, including interpreting evaluation metrics (e.g., confusion matrix, ROC curve).
Experience:2+ yearsData analyticsMachine learningCard fraud risk
Education:
Skills:MentorshipLeadershipInterpersonal communicationInnovationStakeholder collaboration
Tech Stack:PythonCondaAWSH2OSparkScalaRKubeflowKubernetes

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