Popular is seeking a quantitative analyst who will execute technical and data validation related activities for model validation and other related projects in the Bank Secrecy Act (BSA) / Anti-Money Laundering (AML), Sanctions, Fraud, and regulatory compliance domain.
Essential Duties and Responsibilities
Assists with designing appropriate tests to determine whether models work as designed and monitors existing models for adequate performance.
Prepare the validation report; this document details the validation work and provides recommendations to assess issues encountered during the model validation activities.
Communicate with business partner and stakeholders to understand the business needs, data limitations, etc.
Determine the most appropriate testing for a given modeling approach.
Ensure that the validation projects are completed on time.
Ensure that validated models comply with regulatory and privacy requirements.
Keep up-to-date with regulatory and legal requirements.
Train and coach model developers on data governance and model validation activities.
Present findings and recommendations to different stakeholders like model developers, business partners, Internal Audit, etc.
Bachelor’s / Master’s with concentration in a quantitative discipline such as Computer Science, Management Information Systems, Business, Engineering, Statistics, Mathematics, Economics, or similar fields.
Experience with BSA/AML, Sanctions, detection of suspicious activity and financial investigations, and/or regulatory compliance.
Also experience in
data analysis, data integration and data validation activities with the bank activities.
Experience using a programming language to manipulate data, visualize and draw insights from large data sets.
Experience with SQL, Microsoft Excel, R, and/or reporting and analytics tools preferred.
Collaboration & Teamwork
Certified Anti-Money Laundering Specialist (CAMS) or relative certification preferred.
Ability to communicate and work with information technology (IT) personnel.
Ability to gather and manipulate data from disparate sources and forms.
Knowledge of Machine Learning / statistical frameworks, is a plus.
Popular Inc., is an Equal Opportunity Employer
Quantitative Analyst, Law, Compliance, Data Analyst, Data, Legal