Senior Fraud Analytics and Innovation Analyst – Digital Fraud and Scams

Bank of America

Senior Analyst focused on fraud analytics and strategy development for Bank of America. Utilizing complex data analysis and models to minimize fraud impacts on customer experience.

Posted 5/15/2026full-timeBoston • Illinois, Massachusetts, Texas • 🇺🇸 United StatesSenior💰 $105,000 - $131,100 per yearWebsite

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

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 databases, 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
Responsible for performing more complex analysis and strategy development for multiple money movement products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures
Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data
Support biometrics capability enhancements and strategy design
Build and develop logic for strategy
Utilizes portfolio trends to propose strategy and policy changes within the segmentation structure to produce optimal results
Role would also include project scope leadership where candidate would be responsible for providing fraud requirements, testing, and development of strategies
Excels at risk/reward trade off
Participates in the rollout of leading-edge machine learning technology

Requirements

What you’ll need

2+ years of analytical experience
1 year experience with SAS/SQL and Excel
Strong quantitative, critical thinking, and analytical skills
Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business
Ability to work independently as well as part of a virtual team
Innovative mindset with the ability to challenge the status quo
Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines
Bachelor's degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Discretionary incentive eligible
Industry-leading benefits
Access to resources and support for physical, emotional, and financial wellness

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

financial analysisdata analysisprogram modelingfraud risk assessmentstrategy developmentquantitative analysisperformance forecastingoperational performancemachine learning

Soft Skills

critical thinkingcommunicationprofessionalismindependent workteam collaborationinnovationprocess optimizationdeadline management