Data Scientist at Replit analyzing customer signals and marketing performance to drive growth. Collaborating with cross - functional teams using AI and data analytics.
About the role
- Senior Data Science Manager leading a quantitative team for financial crime modeling and analytics. Driving organizational impact by managing resources and influencing data strategies.
Responsibilities
- 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.
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, 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.
Benefits
- 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.
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