KeyCorp is looking to address financial crime compliance needs in AML/BSA/OFAC through quantitative modeling and analytics.
Requirements
- 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
Responsibilities
- Under manager’s supervision, 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
Other
- 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
- 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
