Senior Analyst, Fraud Analytics and Innovation – Digital Fraud & Scam

Bank of America

. Perform complex analysis and modeling to minimize fraud loss exposure and negative customer-experience impacts .

Posted 10/14/2026full-timeUnited StatesSenior💰 $100,000 - $133,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced analytical and quantitative skills, utilizing tools such as SAS, SQL, and Excel to analyze financial data and develop strategies for fraud risk mitigation. Capable of leading projects and communicating effectively with executive management while driving data-driven business decisions.

Highest-signal resume keywords

SAS ProficiencySQL ProficiencyAdvanced Analytical SkillsFraud Risk AnalysisData-Driven Decision Making

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisFinancial ModelingQuantitative AnalysisStatistical AnalysisFraud Mitigation Strategies

Soft Skills

Critical ThinkingCommunication SkillsInnovative MindsetTeam CollaborationIndependent Judgment

Tools & Technologies

ExcelSASSQLTableauRelational Databases

Industry Keywords

Fraud ExperienceMoney Movement ProductsPortfolio TrendsBiometrics CapabilityMachine Learning Technology

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

Perform complex analysis and modeling to minimize fraud loss exposure and negative customer-experience impacts
Develop analysis and strategies for multiple money movement products to maximize profits and asset growth while minimizing risk and operating losses
Analyze financial models, market data, financial data, and portfolio trends
Use Excel, SAS, SQL, Tableau, and relational databases for analytical support
Evaluate data for potential fraud risk and create mitigation strategies
Propose policy and procedural changes within segmentation structures
Recommend data-driven business decisions and desired outcomes
Lead production of product-performance reports and updates for senior management
Develop complex program models to extract data and acquire statistical and financial data from multiple databases
Support biometrics capability enhancements and strategy design
Build and develop strategy logic
Lead project scope, including fraud requirements, testing, and strategy development
Participate in rollout of leading-edge machine-learning technology
Exercise discretion, independent judgment, and communication with multiple levels of management

Requirements

What you’ll need

2+ years of analytical experience (Payment background preferred)
Proficient in SAS or SQL and Excel
Strong quantitative, critical thinking, and analytical skills
Ability to communicate and interact 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 existing processes for optimization and to meet deadlines
Desired: 3+ years of fraud experience
Desired: Bachelor's degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business
Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)
40 hours per week
1st shift (United States of America)

Benefits

Comp & perks

Discretionary incentive eligible
Eligible to participate in the annual discretionary plan
Industry-leading benefits
Paid time off
Resources and support to employees
In-office culture with role-specific flexibility
Opportunities to learn, grow, and make an impact