Hybrid Senior Data Science Manager – Financial Crimes

at KeyBank

• Job title: Senior Data Science Manager – Financial Crimes
• Job type: Full Time
• Experience level: Senior
• Salary: $112,000 - $210,000 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Cloud, Python
• Location requirements: Hybrid, Brooklyn, United States

About the role

• Senior Data Science Manager leading a quantitative team focused on financial crime modeling and analytics. Collaborating with stakeholders to influence data strategy using innovative technologies.

Responsibilities

• 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

• 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
• 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.

Benefits

• 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.