Financial Crimes - Senior Data Scientist

KeyBank; Brooklyn (OH); On-site; USD 94,000 - 175,000; Full time

Job summary

KeyCorp in Brooklyn, OH is hiring a Senior Data Scientist to conduct quantitative modeling and analytics for financial crimes under supervision. You will identify data, select methodologies, assess performance, document results and monitor models, collaborating with compliance and technology teams.

The role requires a Master’s/PhD in a quantitative field with 3+ years of experience, strong SAS/Python skills, and knowledge of regulatory requirements.

Qualifications

• Master’s or Ph.D. in a quantitative discipline with 3+ years of relevant experience.
• Expertise in traditional and ML/AI modeling practices.
• Hands-on SAS and Python coding experience.
• Knowledge of financial crime regulatory requirements and data analysis best practices.

Responsibilities

• Conduct quantitative modeling and analytics for financial crimes (AML/BSA/OFAC).
• Compile and evaluate large data sets for model building.
• Develop/maintain internal models and evaluate vendor solutions.
• Document model development processes and support validation.
• Apply innovative techniques to reduce false positives and improve efficiency.
• Collaborate with compliance, technology, and risk teams.

Skills

Statistics

ML/AI modeling

Data analytics

SAS/Python

Education

Master’s or PhD in quantitative field

Tools

SAS

Python

Job description

Location

4910 Tiedeman Road, Brooklyn Ohio

About the Job (JOB BRIEF)

Under manager’s supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. Leveraging both current and emerging technologies and applications, this role covers all key aspects of model development and analytics, i.e. data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring.

ESSENTIAL JOB FUNCTIONS

• Under manager’s oversight, perform a broad range of quantitative works, including model development and ad hoc 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
• Document model development process and outcomes properly and support model validation and review
• Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives
• Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners

REQUIRED QUALIFICATIONS

• Master’s or Ph.D. degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics;
• 4 years with bachelor's degree
• Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and 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
• Knowledge of financial crime regulatory requirements, technology, and data analysis best practices
• Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience
• Candidates must be located in or willing to relocate to Cleveland, OH or Buffalo, NY

Compensation and Benefits

This position is eligible to earn a base salary in the range of $94,000.00 - $175,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location.

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.

Job Posting Expiration Date: 08/30/2026

#LI-Hybrid KeyBank is an organization collectively committed to helping you unlock your potential and discover what truly drives you. Working here means sharing our purpose to help our clients, colleagues, and communities thrive. You’ll find genuinely supportive teammates, a flexible, inclusive work environment, challenging projects, accessible leaders, and opportunities to grow in your position and your career. For 200 years, Key has opened doors in our communities. Let us open one for you.

KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing [e-mail].