Senior Financial Crimes Data Scientist - Hybrid AML/ML

Key; Cleveland (OH); On-site; USD 94,000 - 175,000; Full time

Job summary

KeyCorp is seeking a Senior Data Scientist to perform quantitative modeling and analytics of financial crimes under supervision. The role covers model development, data gathering, methodology selection, performance assessment and ongoing monitoring to support AML/BSA/OFAC compliance.

The ideal candidate has a Master’s or PhD in a quantitative field with 3+ years of relevant experience (4 years with a bachelor’s) and strong SAS/Python skills.

Qualifications

• Requires 3+ years of relevant experience (4 years with bachelor's) in statistics/ ML in AML/BSA context.
• Expertise in traditional and ML/AI modeling.
• Proficiency in SAS and/or Python.

Responsibilities

• Conduct quantitative modeling and analytics of financial crimes.
• Develop and maintain internal models; evaluate vendor solutions.
• Document modeling process and support validation.
• Collaborate with compliance, technology, and risk partners.
• Reduce false positives and improve model effectiveness.

Skills

Quantitative modeling

SAS/Python coding

Data analysis for compliance

Education

Master's or PhD in statistics or related field

Bachelor's degree with 4 years experience

Tools

Cloud computing platforms

Distributed computing

Job description

KeyCorp is seeking a Senior Data Scientist to perform quantitative modeling and analytics of financial crimes under supervision. The role covers model development, data gathering, methodology selection, performance assessment and ongoing monitoring to support AML/BSA/OFAC compliance.

The ideal candidate has a Master’s or PhD in a quantitative field with 3+ years of relevant experience (4 years with a bachelor’s) and strong SAS/Python skills.