KeyBank National Association seeks a Senior Data Scientist to lead quantitative modeling and analytics focused on financial crimes. Based in Cleveland with a hybrid work arrangement, the role combines data identification, model development, and ongoing monitoring to support AML, BSA, and OFAC compliance while collaborating with compliance, technology, and risk partners.
Responsibilities
- Under the manager's guidance, execute a broad spectrum of quantitative tasks, including model development and ad hoc analytics to address financial crime compliance needs in AML, BSA, and OFAC.
- Research, compile, and evaluate large data sets to assess quality and determine suitability for model building.
- Develop and maintain internal models and test or configure vendor solutions to ensure sound design, proper implementation, and acceptable model performance.
- Document the model development process and outcomes and support validation and review.
- Apply innovative techniques to drive continuous improvements in model effectiveness and efficiency, such as reducing false positives.
- Proactively build technical skills and business knowledge; collaborate effectively with compliance, technology, and risk partners.
Requirements
- Master’s or PhD in statistics, mathematics, economics, computer science, data science, predictive modeling, or other quantitative disciplines, with at least three years of relevant experience; four years is required with a bachelor’s degree; experience in AML/BSA, OFAC, or fraud modeling/analytics is preferred.
- Strong expertise in both traditional statistical methods and modern machine learning/AI modeling approaches.
- Hands-on experience coding in SAS and/or Python.
- Knowledge of traditional databases, cloud-based computing, and distributed computing.
- Understanding of financial crime regulatory requirements, technology, and data analysis best practices.
- Excellent verbal, written, and visual communication skills with the ability to translate technical observations for non-technical audiences.
Technologies
- SAS, Python, cloud-based computing
Benefits
- Base salary in the range of $94,000 to $175,000 per year.
- Eligibility for incentive compensation, which may include production-based pay, commissions, and discretionary incentives.
About the Job
Under the manager's supervision, the Senior Data Scientist focuses on quantitative modeling and analytics of financial crimes. The role leverages current and emerging technologies across all phases of model development and analytics, including data identification and gathering, methodology selection, performance assessment, documentation, and ongoing monitoring.
Compensation and Benefits
The position offers a base salary between $94,000 and $175,000 annually, with potential for incentive compensation such as production, commission, or discretionary incentives. Placement within the pay range depends on skills, experience, and geographic location.
