Fraud Analytics and Innovation Senior Analyst

Bank of America•Charlotte, NC

About The Position

This role performs complex analysis and modeling to minimize fraud loss exposure while limiting negative impacts on the customer experience. It evaluates data for potential and emerging fraud risk, identifies opportunities to reduce billing dispute fraud losses, and develops mitigation strategies that produce measurable results. The role uses analytical systems and databases to support fraud strategies, assess performance, and recommend policy or procedural changes within segmentation structures. It also partners across Claims, Risk, Product, Technology, and Operations to align on strategy and execute initiatives, while reporting results and trends to senior stakeholders.

Requirements

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

Nice To Haves

Bachelor’s degree in business, analytics, risk, finance, or a related field.
Experience with card products, payment networks, billing disputes or 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.

Responsibilities

Perform complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, forecasting, and operational performance.
Use systems such as Excel, SAS, SQL, Tableau, and relational databases to provide analytical support on strategies and ensure goals are met.
Evaluate data to assess potential and emerging fraud risk and develop mitigation strategies.
Propose policy and procedural changes within segmentation structures to produce optimal results.
Recommend ways to help the business achieve desired outcomes and make informed decisions using data analysis.
Coordinate production of product performance reports and provide updates for senior management and other stakeholders.
Analyze data and performance trends to identify opportunities to reduce fraud loss exposure and improve customer experience.
Challenge policies, processes, strategies, and controls to balance client experience, risk, and financial impact.
Develop and evaluate fraud mitigation strategies, including defining opportunities, expected benefits, operational impacts, and success measures.
Partner with and influence Claims, Risk, Product, Technology, and Operations to align on strategy and drive execution of initiatives.
Identify emerging fraud risks, patterns, and industry trends and translate findings into actionable strategies.
Identify opportunities and issues, develop solutions, and drive them through implementation.
Measure strategy performance after implementation and use results to identify further optimization opportunities.