Financial Crimes - Senior Data Scientist

KeyBank • Brooklyn, OH

8d • $94,000 - $175,000 • Hybrid

About The Position

Under a manager’s supervision, the Senior Data Scientist conducts quantitative modeling and analytics related to financial crimes. The role uses current and emerging technologies across the model-development and analytics lifecycle, including identifying and gathering data, selecting methodologies and techniques, assessing performance, documenting work, and conducting ongoing monitoring. The position supports financial crime compliance needs in AML/BSA/OFAC and collaborates with compliance, technology, and risk partners. Candidates must be located in or willing to relocate to Cleveland, Ohio, or Buffalo, New York. The role prioritizes in-office presence while offering flexible options when work can be performed effectively in a mobile environment.

The position offers a base salary range of $94,000 to $175,000 annually, with placement depending on factors including skills, experience, and geographic location. The role is also eligible for incentive compensation, which may include production, commission, and/or discretionary incentives. The posting refers to a benefits list but does not specify the benefits in the supplied description.

Requirements

• Master’s or Ph.D. in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or another quantitative discipline, with at least 3 years of relevant experience; alternatively, a bachelor’s degree with 4 years of relevant experience.
• Solid expertise in traditional modeling practices and machine-learning/artificial-intelligence modeling practices and solutions.
• Hands-on experience with statistical coding in SAS and/or Python.
• Knowledge of and ability to use traditional databases, cloud-based computing, and distributed computing.
• Knowledge of financial crime regulatory requirements, technology, and data-analysis best practices.
• Excellent verbal, written, and visual communication skills, including the ability to translate technical observations for non-technical audiences.
• Must be located in or willing to relocate to Cleveland, Ohio, or Buffalo, New York.

Nice To Haves

• Relevant experience, preferably in AML/BSA, OFAC, or fraud modeling and analytics.

Responsibilities

• Perform quantitative work, including model development and ad hoc analytics, to address financial crime compliance needs in AML/BSA/OFAC.
• Research, compile, and evaluate large datasets to assess data quality and suitability for model building.
• Develop and maintain internal models, and test or configure vendor solutions to ensure sound design, proper implementation, and acceptable performance.
• Document model-development processes and outcomes, and support model validation and review.
• Use innovative techniques to continually improve model effectiveness and efficiency, including reducing false positives.
• Develop technical skills and business knowledge, and collaborate with compliance, technology, and risk partners.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior