Senior Manager, Data Science - Anti-Money Laundering Modeling and Advanced Data Insights

Discover Financial
Chicago, Plano, Richmond
Workplace: OnsiteFull timeUSD 209,000 - 238,500 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Customer-focused","Interpersonal communication","Innovation","Leadership","Modeling/analytical thinking"]

Lead end-to-end development, deployment, and monitoring of production machine learning models for an Anti-Money Laundering (AML) transaction monitoring program. Partner with data science, software engineering, and product teams to uncover insights from large-scale structured and textual data, build models from design through validation, and deliver monitoring dashboards and reporting that help operate the AML program efficiently and effectively.

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Discover Financial
Discover Financial
1 month ago

Senior Manager, Data Science - Anti-Money Laundering Modeling and Advanced Data Insights

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Last checked: 2 hours agoStatus: Live

Job Summary

Lead end-to-end development, deployment, and monitoring of production machine learning models for an Anti-Money Laundering (AML) transaction monitoring program. Partner with data science, software engineering, and product teams to uncover insights from large-scale structured and textual data, build models from design through validation, and deliver monitoring dashboards and reporting that help operate the AML program efficiently and effectively.
Location: Chicago, Plano, Richmond
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 value.
  • •Use a broad technology stack (e.g., Python, Conda, AWS, H2O, Spark) to extract insights from large volumes of numeric and textual data.
  • •Develop machine learning models end to end, from design through training, evaluation, validation, and implementation.
  • •Translate technical work into tangible business goals.
  • •Own end-to-end development, deployment, and monitoring of production models for transaction monitoring using machine learning.

Pay and Benefits

Salary: USD 209,000 - 238,500 annually

Key Requirements

  • •Bachelor’s degree in a quantitative field plus 7 years of data analytics experience, or a Master’s degree (or MBA with quantitative concentration) plus 5 years, or a PhD plus 2 years, with the degree expected by the start date.
  • •At least 2 years of experience leveraging open-source programming languages for large-scale data analysis.
  • •At least 2 years of experience working with machine learning.
  • •At least 2 years of experience utilizing relational databases.
  • •Demonstrated ability to build, validate, and backtest models (e.g., interpreting confusion matrix and ROC curve).
Experience:2+ yearsFinancial servicesFraud/AMLMachine learning
Education:
Skills:Customer-focusedInterpersonal communicationInnovationLeadershipModeling/analytical thinking
Tech Stack:AWSSnowflakePythonSparkCondaH2OScalaR

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