Location:
4910 Tiedeman Road - Brooklyn, Ohio 44144ABOUT THE JOB (JOB BRIEF)
Under manager’s supervision, the Financial Crimes 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/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 QUALIFICATIONS
Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 2+ years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics; 1+ year with Master’s or Ph.D.Solid 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 audienceCOMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $90,000 to $120,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance.
Please click here for a list of benefits for which this position is eligible.
Job Posting Expiration Date: 09/21/2025

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