Financial Crimes - Senior Data Scientist

KeyCorp; Buffalo (NY); Hybrid; USD 94,000 - 175,000; Full time

Job summary

KeyCorp in United States (Buffalo/Cleveland area) seeks a Senior Data Scientist to conduct quantitative modeling and analytics for financial crimes. You will develop and monitor AML/BSA/OFAC models, gather data, and document methodologies. Collaboration with compliance, technology, and risk teams is essential.

Applicants should hold a Master’s/PhD in a quantitative field with 3+ years of experience (4+ with a bachelor’s). Proficiency in SAS or Python and data analytics is required.

Qualifications

• Master’s or Ph.D. in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines with 3+ years of relevant experience (4+ years with a bachelor’s).
• Preferred AML/BSA, OFAC, or fraud modeling/analytics experience.
• Strong SAS and/or Python programming for modeling and analytics.

Responsibilities

• Develop and validate quantitative models for financial crime analytics.
• Identify data sources, gather data, build models, and monitor performance.
• Collaborate with compliance, technology, and risk partners.

Skills

SAS

Python

Machine Learning

Statistics

Data Visualization

Communication

Education

Master’s or PhD in quantitative field

Bachelor’s degree in related field

Tools

SAS

Python

Job description

Location:4910 Tiedeman Road, Brooklyn OhioABOUT 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 FUNCTIONSUnder 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/OFACResearch, compile and evaluate large sets of data to assess quality and determine suitability for model buildingDevelop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performanceDocument model development process and outcomes properly and support model validation and reviewEmploy innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positivesProactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partnersREQUIRED QUALIFICATIONSMaster’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 degreeSolid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutionsHands-on work experience with statistical coding in SAS and/or PythonKnowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computingKnowledge of financial crime regulatory requirements, technology, and data analysis best practicesExcellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audienceCandidates must be located in or willing to relocate to Cleveland, OH or Buffalo, NYCOMPENSATION AND BENEFITSThis 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.Please click here for a list of benefits for which this position is eligible.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 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].#LI-Hybrid