KeyBank

Lead Data Scientist, Financial Crimes

KeyBank

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York, Ohio

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Salary

💰 $90,000 - $120,000 per year

Job Level

Senior

Tech Stack

CloudPython

About the role

  • Conduct quantitative modeling and analytics of financial crimes under manager’s supervision
  • Data identification and gathering; compile and evaluate large sets of data to assess quality and determine suitability for model building
  • Select methodologies/techniques, develop and maintain internal models, and configure/test vendor solutions
  • Assess model performance, ensure conceptually sound design and proper implementation, and support validation and review
  • Document model development process and outcomes and perform ongoing monitoring
  • Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g., reducing false positives
  • Collaborate with compliance, technology, and risk partners and proactively develop technical skills and business knowledge

Requirements

  • Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines
  • At least 2+ years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics
  • 1+ year with Master’s or Ph.D. (alternative experience if higher degree)
  • Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and 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
  • Knowledge of financial crime regulatory requirements, technology, and data analysis best practices
  • Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience
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