Portfolio Analytics & Strategy Specialist – Fraud Monitoring, SQL, Python, R

Responsibilities

• Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes
• Responsible for running complex business performance, risk and operational analytics
• Develops analytical methods/models to assess market, credit and/or operational risk of new and existing financial products
• Analyzes large datasets to improve risk adjusted returns, deliver profitable growth, and communicate conclusions
• Develops, recommends, and implements business strategies that improve lending decisions, manage risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance
• Establishes baselines for strategies and tracks actual performance to expectations
• Applies predictive models, third party data, and other tools for acquisition and portfolio strategies to provide insight into portfolio risk
• Manages engagements with internal and external information suppliers ensuring solution fit while maintaining governance and oversight
• Works with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting

• Strong analytic mindset and data skills
• Proficiency with SQL, Python and R
• Effective communication skills
• Math, statistics, and quantitative analysis background
• Prior banking experience and/or prior anti‑fraud experience, especially with digital transaction products (ACH, Wire Transfer, ETC)
• 5+ years of industry‑relevant experience
• University/college degree, with specific certifications often required or a combination of education, job specific certification(s), and experience