Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance
Utilizes a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met
Evaluates data to assess potential fraud risk and creating mitigation strategies
Proposes policy/procedural changes within segmentation structures to produce optimal results
Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
Leads the coordination of the production of product performance reports and updates for senior management
Support monitoring and analysis of deposit application fraud trends and portfolio performance.
Conduct deep-dive investigations into patterns, anomalies, and emerging threats.
Contribute analytical insights, develop mitigation strategies and improve detection effectiveness.
Assist in developing and maintaining application and transaction monitoring routines.
Support cross-functional collaboration by preparing data, insights, and documentation for senior strategists, operations, technology, and product teams.
Assist in evaluating internal and external data sources that may enhance detection capabilities, coordinating closely with Fraud Technology partners.
Help ensure risk controls and best practices are properly implemented within assigned workstreams.
Participate in defect reviews and case analysis to identify strategy or procedural enhancement opportunities.
Contribute to fraud requirements documentation, testing support, and performance validation for new initiatives.
Monitor KPI dashboards and provide reporting to help assess the effectiveness of fraud strategies.
Support strategy optimization efforts by analyzing rule performance, false positives, and customer impact.
Identify process improvement opportunities that increase efficiency or analytic rigor.
Partner with claims, policy, and product teams to deliver basic analysis and insights that inform decision making.

Requirements

1–3+ years of SQL and/or SAS querying/coding experience
1–3+ years of experience in Fraud Prevention, Strategy, Risk, Policy, or Operations
Experience with Excel, PowerPoint, and/or Tableau
Strong analytical and problem-solving skills
Effective written and verbal communication skills
Ability to work independently on assigned analyses and deliver accurate results
Comfortable working in a fast-paced, dynamic environment
Ability to break down problems and contribute to development of clear action plans
Experience interpreting data and presenting findings to various audiences.

Benefits

This role is currently benefits eligible.
We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLSASdata analysisfinancial modelingfraud risk assessmentperformance forecastingdata interpretationKPI monitoringprocess improvementreporting

Soft Skills

analytical skillsproblem-solvingcommunication skillsindependenceadaptabilitycollaborationattention to detailstrategic thinkingaction planningpresentation skills