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 role is responsible for performing advanced analytics, modeling, and strategy development to minimize fraud loss exposure, including risks associated with Reward Points redemption fraud, while mitigating impacts to the customer experience. Key responsibilities include leveraging tools such as Excel, SAS, SQL, Tableau, and other relational databases to support fraud strategies, evaluate operational performance, ensure business objectives are met, and recommend policy and procedural enhancements. The role requires analyzing complex data sets to identify fraud risks, assess emerging threats, and develop effective mitigation strategies that drive optimal business outcomes.
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.
Other responsibilities include:
Creation, implementation, and maintenance of rules and capabilities designed to detect Reward Point Redemption fraud
Deriving actionable insights from complex data
Build and develop logic for strategy
Utilizes portfolio trends to propose strategy and policy changes within segmentation structure to produce optimal results.
Working closely with internal and external partners to understand limitations and opportunities for improvement
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
Required Qualifications:
2+ years…