Fraud Analytics and Innovation Senior Analyst; Device and Non Monetary

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.

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!

This job is responsible for performing more complex analysis and modeling to minimize fraud loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational databases, to provide analytical support on strategies, ensure goals are met, and propose policy/procedural changes within segmentation structures to produce optimal results.

Job expectations include evaluating data to assess potential fraud risk and creating mitigation strategies.

Account Takeover (ATO) persists as one of the most prevalent threats within the fraud landscape today. This, coupled with the expansion of our digital capabilities and the wide array of compromised information available for purchase, has increased the scope and complexity of effectively detecting, mitigating, and monitoring ATO risk within the Bank’s ecosystem.

The Fraud Prevention and Detection organization relies heavily on our understanding of current fraudster tactics to expand our capabilities, reduce customer friction, and make strategic investment decisions. Data related to customer profiles and online banking login events hold an important key to securing best‑in‑class fraud performance and exceptional customer experiences. The selected candidate will work closely with the Cross‑Functional teams and internal stakeholders to minimize process gaps and deliver on organizational loss goals.

• 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
• Utilizes a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational databases, to provide analytical support on strategies, ensure goals are met
• Evaluates data to assess potential fraud risk and creating mitigation strategies
• Proposes policy/procedural changes within segmentation structures to produce optimal results
• Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
• Leads the coordination of the production of product performance reports and updates for senior management
• Creation, implementation, and maintenance of rules and capabilities designed 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 in partnership with functional stakeholders
• Developing effective monitoring and oversight for cross‑functional processes, inclusive of performance reporting and newly identified opportunities for collaboration across teams
• Working closely with internal and external partners to understand limitations and opportunities for improvement

• 2+ years of fraud, cyber, or risk analyst experience developing and/or optimizing mitigation strategies
• 3+ 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

• B.A./B.S. in Computer Science, Data Science, Statistics or related field
• Advanced…