Senior Fraud Analytics & Innovation Lead

Bank of America; Boston (MA); On-site; USD 85,000 - 120,000; Full time

Job summary

Bank of America is seeking a fraud analytics professional in the United States to perform complex data analyses and build predictive models across digital products. You will leverage SAS/SQL, Excel, Tableau, and Python to develop and validate fraud variables, monitor strategies, and guide decision making with senior leadership.

The role emphasizes collaboration with claims, policy, strategy, and product teams, plus project management, testing, and monitoring of risk controls to minimize fraud

Qualifications

• 3+ years of fraud experience and/or 2+ years of analytical experience (Payment card /Retail Bank background preferred).
• Proficient in SAS/SQL and Excel.
• Strong quantitative, critical thinking, and analytical skills.

Responsibilities

• Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
• 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
• Leads coordination of the production of product performance reports and updates for senior management
• Analyze complex data to provide insights into incoming and loss trends or identify potential problems
• Develop adhoc reporting
• Identify process improvements and efficiencies via data analysis
• Deliver accurate metrics related to fraud and claim activity
• Validate the integrity and quality of data required for performing analysis
• Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals.

Skills

Analytical thinking

Communication

Problem solving

Education

Bachelor's degree in a quantitative discipline

Tools

SAS/SQL

Excel

Tableau

Python

Job description

Bank of America is seeking a fraud analytics professional in the United States to perform complex data analyses and build predictive models across digital products. You will leverage SAS/SQL, Excel, Tableau, and Python to develop and validate fraud variables, monitor strategies, and guide decision making with senior leadership.

The role emphasizes collaboration with claims, policy, strategy, and product teams, plus project management, testing, and monitoring of risk controls to minimize fraud