Fraud Analytics and Innovation Senior Analyst

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.

LOB Specific Information:

This job is responsible for performing 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 fraud strategies and ensure goals are met. Job expectations include evaluating data to assess potential and emerging fraud risk, identifying opportunities to reduce billing dispute fraud losses, and developing mitigation strategies to drive measurable results.

Responsibilities:

Responsibilities:

• 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 data bases, 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
• Analyze data and performance trends to identify opportunities to reduce fraud loss exposure and improve the overall customer experience.
• Champion and challenge policies, processes, strategies, and controls to optimize the balance between client experience, risk, and financial impact.
• Develop and evaluate fraud mitigation strategies, including defining opportunities, expected benefits, operational impacts, and measures of success.
• Partner and influence across Claims, Risk, Product, Technology, and Operations to align on strategy and drive execution of key initiatives.
• Own performance reporting and provide regular updates to senior stakeholders on loss trends, initiatives, and results.
• Proactively identify emerging fraud risks, patterns, and industry trends and translate findings into actionable strategies.
• Take initiative to identify opportunities and issues, develop creative solutions, and drive them through implementation.
• Measure strategy performance after implementation and use results to identify additional opportunities for optimization.

Required Qualifications:

• Experience with SQL, SAS, and/or Tableau for data analysis and reporting.
• Strong analytical and critical thinking skills, with the ability to translate complex data into actionable strategies.
• Ability to engage and influence across all levels, from analyst to senior executive, to build advocacy and drive change.
• Self-motivated with the ability to work independently in a fast-paced environment and deliver results quickly.
• Experience in fraud strategy, claims, disputes, risk management, or data analytics within financial services.
• Strong written, verbal, and interpersonal communication skills.

Desired Qualifications:

• Bachelor’s degree in business, analytics, risk, finance, or a related field.
• Experience with card products, payment networks, billing disputes/chargebacks, claims processes, and associated fraud strategies.
• Process excellence background and/or experience automating or streamlining operational workflows.
• Experience developing, implementing, or measuring fraud prevention and loss mitigation strategies.
• Experience collaborating with global or offshore delivery teams.

Skills:

• Business Analytics
• Business Intelligence
• Data Quality Management
• Fraud Management
• Monitoring, Surveillance, and Testing
• Collaboration
• Data Visualization
• Oral Communications
• Problem Solving
• Written Communications
• Analytical Thinking
• Critical Thinking
• Data and Trend Analysis
• Innovative Thinking
• Research

Shift:

1st shift (United States of America)

Hours Per Week: 

40