Reporting to the Director of Financial Crimes Modeling & Analytics that reports to the Deputy Chief AML Officer, the Senior Data Science Manager is primarily responsible for leading a quantitative team in support of financial crime modeling and analytics.
Establish priorities for the team, assign and define the work to the right resources, and understand the strengths and opportunities of the team.
Own modeling practices, methods, and techniques as well as influence data strategy with a focus on leveraging both current and emerging technologies and applications.
Act as a leader, strategic advisor and credible thought partner to senior / executive level business partners.
Manage the integration of activities within and across teams as well as effectively manage, coach, develop, and guide a team of professionals to anticipate business needs, recommend solutions that are both effective and efficient, and communicate the right message.

Master’s degree (or its equivalent) in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and 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, with preference given to candidates possessing experience and expertise in Generative AI (GenAI).
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; translate technical observations to a non-technical audience
A credible thought leader that can guide, advise, challenge, and influence at all levels of the organization and drive organizational impact.

Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Senior Data Science Manager – Financial Crimes

Key skills