Fraud Analytics & ATO Innovation Senior Analyst

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

Benefits offered by this job

Discretionary incentive

Benefits eligible

Job summary

Bank of America is seeking a fraud analyst to perform complex analysis and modeling to minimize fraud loss and protect customer experience. You will use Excel, SAS, SQL, Tableau and related databases to support strategies, evaluate data for fraud risk, and propose procedural changes within segmentation structures to optimize results.

The role emphasizes collaboration with cross-functional teams, data-driven decision making, and close partnership with stakeholders to meet loss goals and improve

Qualifications

• 2+ years of fraud experience developing and/or optimizing mitigation strategies.
• 2+ years of SQL and/or SAS coding experience.
• Ability to identify opportunities for improvement and work autonomously with minimal direction.
• Ability to work in a fast-paced, dynamic environment.

Responsibilities

• Create, implement, and maintain rules to detect account takeover and non-monetary fraud.
• Derive actionable insights from complex data.
• Investigate and perform root cause analysis of major fraud losses and trends.
• Implement incremental fraud mitigation controls with stakeholders.
• Develop monitoring and reporting for cross-functional processes.

Skills

Business Analytics

Data Visualization

Critical Thinking

Communication

Problem Solving

Education

B.A./B.S in Computer Science, Data Science, Statistics

Advanced degree in Computer Science, Data Science, Statistics

Tools

SQL

SAS

Tableau

Job description

Bank of America is seeking a fraud analyst to perform complex analysis and modeling to minimize fraud loss and protect customer experience. You will use Excel, SAS, SQL, Tableau and related databases to support strategies, evaluate data for fraud risk, and propose procedural changes within segmentation structures to optimize results.

The role emphasizes collaboration with cross-functional teams, data-driven decision making, and close partnership with stakeholders to meet loss goals and improve