Senior Fraud Analytics & Innovation Analyst

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

Job summary

Bank of America in Chicago is seeking a fraud-focused analyst to perform complex analysis and modeling to minimize loss and protect customers. You will use Excel, SAS, SQL and Tableau to support strategies, evaluate data for fraud risk, and propose policy changes within segmentation structures to improve outcomes.

The role partners with cross-functional teams to reduce customer friction, analyze fraud trends, and implement monitoring alongside senior leadership.

Qualifications

• 2+ years in fraud risk analysis and remediation.
• 2+ years of SQL and/or SAS coding experience.
• Ability to work autonomously in a fast-paced environment.
• Strong communication and collaboration with stakeholders.

Responsibilities

• Creation, implementation, and maintenance of rules and capabilities to detect account takeover and non-monetary fraud
• Deriving actionable insights from complex data
• Investigation and root cause analysis of major fraud losses and emerging trends
• Implementing incremental fraud mitigation controls with functional stakeholders
• Developing monitoring and oversight for cross-functional processes and performance reporting
• Working with internal and external partners to identify improvement opportunities
• Analyzing financial models, market data, and portfolio trends to improve performance and risk controls
• Using Excel, SAS, SQL, Tableau for analytical support and strategy validation
• Evaluating data to assess fraud risk and mitigation strategies
• Proposing policy changes within segmentation structures
• Recommending data-driven decisions to management
• Coordinating production of product performance reports for senior leaders

Skills

SQL

SAS

Fraud analysis

Communication

Education

B.A./B.S in CS/Data Science

Advanced degree in CS/DS/Stats

Tools

Tableau

Python

Hadoop Impala/Hive

Job description

Bank of America in Chicago is seeking a fraud-focused analyst to perform complex analysis and modeling to minimize loss and protect customers. You will use Excel, SAS, SQL and Tableau to support strategies, evaluate data for fraud risk, and propose policy changes within segmentation structures to improve outcomes.

The role partners with cross-functional teams to reduce customer friction, analyze fraud trends, and implement monitoring alongside senior leadership.