KeyCorp is looking to solve 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
Conduct 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.
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
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
Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners
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
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.
