Financial Crimes-Lead Data Scientist

  • Brooklyn, OH
  • Posted 12 hours ago | Updated 1 hour ago

Overview

On Site
USD 90,000.00 - 120,000.00 per year
Full Time

Skills

Supervision
Emerging Technologies
Documentation
Research
Sound Design
Collaboration
Regulatory Compliance
Statistics
Mathematics
Economics
Computer Science
Data Science
Predictive Modelling
AML
Business Analysis
OFAC
Fraud
Analytics
Machine Learning (ML)
Artificial Intelligence
Modeling
SAS
Python
Database
Cloud Computing
Distribution
Finance
Data Analysis
Communication

Job Details

Location:
4910 Tiedeman Road - Brooklyn, Ohio 44144

ABOUT 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/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

  • 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 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

COMPENSATION 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: 09/21/2025KeyCorp 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, disability or veteran status.

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