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 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.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: 05/31/2026 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 [email protected].
#LI-Hybrid
Skills Required
- Master's or Ph.D. in quantitative field with 3+ years experience
- Expertise in Machine Learning and AI modeling
- Hands-on experience with SAS and/or Python
- Knowledge of financial crime regulatory requirements
- Strong communication skills
KeyBank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KeyBank and has not been reviewed or approved by KeyBank.
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Retirement Support — A dollar-for-dollar 401(k) match up to 7% of eligible pay is positioned as a standout element of the total rewards package. Additional financial programs like discounted stock purchase and banking discounts further strengthen perceived long-term value.
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Leave & Time Off Breadth — A pooled PTO bank with amounts that scale by level and tenure is described as a meaningful benefit and a retention lever. Paid parental leave is also included, adding to the breadth of time-off support.
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Wellbeing & Lifestyle Benefits — Wellness incentives tied to HSA contributions and company-sponsored health and wellbeing programs add tangible non-cash value. A Lifestyle Spending Account and counseling resources expand support beyond traditional medical coverage.
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