Fraud Analytics and Innovation Senior Analyst - Bank of America : Job Details

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities, and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

This role involves performing complex analysis and modeling to minimize fraud loss exposure and negative impacts on customer experience. Responsibilities include utilizing systems such as Excel, SAS, SQL, Tableau, and other relational databases to support strategies, meet goals, and propose policy or procedural changes within segmentation structures for optimal results. The role also entails evaluating data to assess potential fraud risks and developing mitigation strategies.

Responsibilities:

• Recommends ways to help the business achieve desired outcomes and make informed decisions using data analysis outputs.
• Performs complex analysis of financial models, market data, and portfolio trends to understand product performance and improve risk management, profitability, and operational performance.
• Leads the coordination of product performance reports and updates for senior management.

LOB Specific Information:

This role involves performing advanced analysis and modeling for multiple money movement products to maximize profits and asset growth while minimizing risks and losses. Key tasks include:

• Developing complex program models to extract data from multiple databases.
• Supporting biometrics capability enhancements and strategy design.
• Building and developing logic for strategies.
• Using portfolio trends to propose strategy and policy changes within segmentation structures.
• Leading project scopes, including providing fraud requirements, testing, and strategy development.
• Balancing risk and reward effectively.
• Participating in the rollout of cutting-edge machine learning technologies.

Qualifications include the ability to use discretion and judgment, communicate effectively with management, and demonstrate leadership behaviors.

Internal Participation: Participation in a work-from-home setup does not disqualify internal employees from applying.

Required Qualifications:

• 3+ years of fraud experience and/or 2+ years of analytical experience (preferably in Payment Card/Retail Bank).
• Proficiency in SAS/SQL and Excel.
• Strong quantitative, critical thinking, and analytical skills.
• Professional communication skills with executive-level personnel.
• Ability to work independently and in virtual teams.
• Innovative mindset to challenge the status quo.
• Proactive process analysis and improvement skills to meet deadlines.

Desired Qualifications:

• Bachelor's degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business.
• Advanced analytical skills with a proven ability to use data to identify root causes.
• Basic understanding of 1st and 3rd party fraud issues.
• Strong analytical and communication skills.

Shift: 1st shift (United States of America)

Hours Per Week: 40