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KeyBank

Senior Data Science Manager – Financial Crimes

KeyBank

Senior Data Science Manager leading financial crime modeling and analytics team in Brooklyn, NY or Amherst, NY. Responsible for team management and innovative model development.

Posted 4/30/2026full-timeBrooklyn • New York, Ohio • 🇺🇸 United StatesSenior💰 $116,000 - $216,000 per yearWebsite

Tech Stack

Tools & technologies
CloudPython

About the role

Key responsibilities & impact
  • Oversee a small quantitative team (2-4 direct reports) in developing models and conducting analytics to address financial crime compliance needs in AML/BSA/OFAC
  • Research, compile and evaluate large sets of data to assess quality and determine suitability for model building
  • Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance
  • Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives
  • Proactively coach and develop the team on building technical skills and business knowledge; promote the team and their capabilities to stakeholders
  • Effectively collaborate with compliance, technology, and risk partners; guides, advises, challenges, and influences to drive organizational impact
  • Provide strategic consultation and thought leadership to senior / executive level business partners

Requirements

What you’ll need
  • Master’s degree (or its equivalent) in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines
  • At least 5 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics
  • Demonstrated proficiency in both traditional modeling practices and Machine Learning (ML)/Artificial Intelligence (AI) solutions
  • Hands-on work experience with statistical coding in SAS and/or Python
  • Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing
  • In-depth understanding of financial crime regulatory requirements, technology, and data analysis best practices
  • Demonstrated direct management experience
  • Excellent verbal, written and visual communication skills; ability to define and communicate key risk metrics, dashboards and analytics for senior management and executive reporting

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
statistical modelingmachine learningartificial intelligenceSASPythondata analysismodel buildingpredictive modelingcloud-based computingtraditional databases
Soft Skills
team managementcoachingcollaborationcommunicationstrategic consultationthought leadershipinfluencingproblem-solvinganalytical thinkingstakeholder engagement