Consumer Product Strategy Analyst III - Business Intelligence Fraud and Claims

Disability Solutions - Plano, TX

Full-time - Mid Level

Plano, TX

Administrative and Support Services

About the position

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! This job is responsible for performing more complex analysis and modeling to minimize 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 and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies. The Client Protection data analyst will provide analytical and data support for Consumer fraud and non-fraud products supporting Adhoc report and analytical requests to support fraud and claims LOBs. The candidate will coordinate the production of performance reports and updates for key stakeholders in strategy, claims, finance, and product. The candidate will utilize established databases to provide performance insights to key stakeholders. The candidate will be tasked with analyzing and completing Adhoc reports that will provide insights into performance, risk, client impacts, recoveries, and potential gaps.

Responsibilities

• Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
• 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
• Leads coordination of the production of product performance reports and updates for senior management
• Analyze complex data to provide insights into incoming and loss trends or identify potential problems
• Develop Adhoc reporting for Consumer Card Products and Channels
• Identify process improvements and efficiencies via data analysis
• Deliver accurate metrics related to fraud and claim activity
• Validate the integrity and quality of data required for performing analysis
• Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals

Requirements

• Strong analytical experience (Data Mining, Report Development, Reporting, Presentation, etc.)
• 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

Nice-to-haves

• 3+ years of fraud experience and/or 3+ years of analytical experience with a Payment card /Retail Bank background
• Bachelors degree in a quantitative discipline such as mathematics, statistics, operations research, finance, business, or analytical field, or equivalent work experience
• 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.)
• Tableau, MicroStrategy, Python, Hadoop, Pyspark

Benefits

• Competitive benefits to support physical, emotional, and financial well-being