Senior Fraud Analytics & Innovation Strategist

Bank of America; Phoenix (AZ); On-site; USD 100,000 - 134,000; Full time

Benefits offered by this job

Discretionary incentive eligible

Benefits eligible

Job summary

Bank of America in Phoenix is seeking a Senior Fraud Analyst to perform complex data analysis, build models, and support strategy to minimize fraud loss and protect customers. You will leverage Excel, SAS, SQL, Tableau and other databases to provide analytical support and guide policy decisions within segmentation structures.

The role involves developing program models, evaluating risk, coordinating senior management reporting, and exploring machine learning led improvements while delivering

Qualifications

• 2+ years of analytical experience; payment background preferred.
• Proficient in SAS or SQL and Excel.
• Strong quantitative, critical thinking, and analytical skills.
• Able to communicate with executive level personnel and work independently.

Responsibilities

• Performs complex analysis of financial models, market data, and portfolio trends.
• Utilizes SAS/SQL/Excel/Tableau to provide analytical support for strategies.
• Evaluates data to assess potential fraud risk and creates mitigation strategies.
• Proposes policy changes within segmentation structures to optimize results.
• Leads the production of product performance reports for senior management.

Skills

Analytical Thinking

Critical Thinking

Problem Solving

Data Visualization

Oral Communications

Written Communications

Data and Trend Analysis

Innovation Thinking

Education

Bachelor's degree in a quantitative discipline

Tools

SAS

SQL

Excel

Job description

Bank of America in Phoenix is seeking a Senior Fraud Analyst to perform complex data analysis, build models, and support strategy to minimize fraud loss and protect customers. You will leverage Excel, SAS, SQL, Tableau and other databases to provide analytical support and guide policy decisions within segmentation structures.

The role involves developing program models, evaluating risk, coordinating senior management reporting, and exploring machine learning led improvements while delivering