Bank of America

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

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.

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 the coordination of the production of product performance reports and updates for senior management

LOB Specific Information

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.

Responsibilities:

• Responsible for performing more complex analysis and strategy development for multiple money movement products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures. Other responsibilities include:
• Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data.
• Support biometrics capability enhancements and strategy design
• Build and develop logic for strategy
• Utilizes portfolio trends to propose strategy and policy changes within segmentation structure to produce optimal results.
• Role would also include project scope leadership where candidate would be responsible for providing fraud requirements, testing, and development of strategies
• Excels at risk/reward trade off.
• Participates in the rollout of leading-edge machine learning technology
• Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors.

For internal employees: participation in a work from home posture does not make you ineligible to post.

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

Shift:

1st shift (United States of America)

Hours Per Week:

40