Senior Fraud Analyst
Data & AnalyticsPosted 10 Aug 2026
Advertised as “Fraud Analytics and Innovation Senior Analyst - Digital Fraud Strategies”
Posted 10 Aug 2026
Advertised as “Fraud Analytics and Innovation Senior Analyst - Digital Fraud Strategies”
The original posting with the fluff stripped out
| Base salary | US$100,000 – US$133,500 / yr |
|---|
Field of studyBusiness, Finance, Mathematics, Statistics, Operations Research (or related)
Study levelBachelor's
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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
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 data bases, 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.
This role will support Emerging Risk Fraud Strategies primarily in Digital products; Zelle/Wires/BillPay. Responsible for creating fraud strategies and ensuring proper risk controls are deployed adhering to best practices. Team member will provide recommendations on mitigation efforts, ensuring monitors are in place, self-create initiatives as needed. Conducting defect reviews of 3rd party fraud loss cases to identify any gaps in Fraud strategy and/or procedural adjustments. Strategy performance tracking and rule optimization on recurring basis. Team member will also be responsible for developing and validating fraud variables utilized in strategies. Role also include project management where candidate would be responsible for providing fraud requirements, testing, and development of strategies. The projects includes network mandates, Product team support, and internal projects. SAS/SQL technical skills required. Good working experience with Tableau and Python is a plus.
Responsibilities:
Required Qualifications:
▪ 3+ years of fraud experience and/or 2+ years of analytical experience (Payment card /Retail Bank background preferred)
▪ Proficient in SAS/SQL and Excel
▪ Strong quantitative, critical thinking, and analytical skills
▪ Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business
▪ Ability to work independently as well as part of a virtual team
▪ Innovative mindset with the ability to challenge the status quo
▪ Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines
Desired Qualifications:
▪ Bachelors degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business
▪ Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
▪ Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)
▪ Proven strong analytical and communication skills
*** This position is not eligible for sponsorship
Skills:
*** Internal employees who are currently working from home are still eligible to apply. However, if selected for the role, you may be required to work onsite in accordance with the workplace excellence policy
Shift:
1st shift (United States of America)
Hours Per Week:
40
Pay Transparency details
US - IL - Chicago - 110 N Wacker Dr - Bank Of America Tower Chicago (IL4110), US - MA - Boston - 100 Federal St - 100 Federal St Lp (MA5100)
Pay and benefits information
Pay range
$100,000.00 - $133,600.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.