Senior Data Scientist, Financial Crimes & AML ML (Hybrid)

KeyBank; Cleveland (OH); Hybrid; USD 94,000 - 175,000; Full time

Job summary

KeyBank seeks a Senior Data Scientist to lead quantitative modeling and analytics for financial crimes in AML/BSA/OFAC. You will develop, test, and monitor models, and document methodologies for validation.

Collaborate with Compliance, Technology, and Risk teams, apply ML/AI to reduce false positives, and present complex results to non-technical stakeholders. Hybrid work with in-office presence and relocation support within the Cleveland area.

Qualifications

• Advanced degree in statistics/quantitative field with 3+ years of relevant AML/BSA/OFAC or fraud modeling/analytics experience (4 years with bachelor's).
• Hands-on experience with ML/AI modeling practices and solutions.
• Proficiency in SAS and/or Python for statistical coding.
• Knowledge of databases, cloud computing and distributed computing.
• Familiarity with financial crime regulatory requirements and data analysis best practices.
• Excellent verbal, written and visual communication; able to translate technical observations for non-technical audiences.

Responsibilities

• Perform model development and analytics for financial crime compliance needs (AML/BSA/OFAC).
• Research and evaluate large data sets for model building suitability.
• Develop/maintain internal models and evaluate vendor solutions for sound design and performance.
• Document model development and support validation processes.
• Apply innovative techniques to improve model effectiveness and reduce false positives.
• Collaborate with compliance, technology, and risk partners.

Skills

Quantitative analytics

Verbal & written communication

Analytical thinking

Education

Master's or PhD in statistics, mathematics, economics, CS, data sciences or quantitative field

Tools

SAS

Python

Job description

KeyBank seeks a Senior Data Scientist to lead quantitative modeling and analytics for financial crimes in AML/BSA/OFAC. You will develop, test, and monitor models, and document methodologies for validation.

Collaborate with Compliance, Technology, and Risk teams, apply ML/AI to reduce false positives, and present complex results to non-technical stakeholders. Hybrid work with in-office presence and relocation support within the Cleveland area.