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!

This job is responsible for performing more complex analysis aimed at improving portfolio risk, profitability, performance forecasting, and operational performance for consumer products and related divisions, such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with business counterparts within the Line of Business and partner organizations including Risk and Product teams.

Responsible for performing analysis & strategy execution aimed at reducing First Party Fraud losses in the Small Business Card portfolio. Job expectations include using data and analytics to create and maintain First Party Fraud Strategies, solve problems and partner across technology, product, and strategy leadership to drive performance. The analyst will use analytical methods to drive targeted results and is responsible for maintaining appropriate credit strategy controls. Strong analytical skills are required with extensive experience manipulating large data sets using SQL, SAS or similar coding languages. This role also requires the development of custom reporting to understand strategy performance and drive strategy enhancement. This position requires the ability to interact with key stakeholders such as product, technology, operations, vendors, legal, and compliance to understand the business direction, overlay with current fraud environment and recommend solutions to minimize credit losses.

Responsibilities:

• Leads trend analysis, including control performance reports and updates for senior management.
• Identify trends/patterns in abusive activity and suggest rule/policy changes to mitigate credit losses.
• Leverage analytical knowledge to identify process/strategy deficiencies and provide recommendations for process improvement.
• Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs.
• Consult with internal partners on best practices, processes, and procedures to reduce credit losses.
• Work closely with Credit Risk, Credit Strategies, Business Controls and Compliance partners to execute Credit Strategy Development and Management; including identification and resolution of issues.
• In partnership with Business Enablement team, lead the strategy design for decision engine changes.
• Routinely investigate and provide guidance to internal partners on escalations and complex issues.

Required Qualifications:

• Proven analytical ability as demonstrated through 4 years of experience in credit/risk management, or fraud experience in the financial services industry.
• Ability to develop statistical or quantitative output using appropriate tools (ex SAS, SQL, Python/R, H2O, similar) for identifying and optimizing key business metrics with a proven ability to mine large datasets, interpret results and communicate findings candidly and crisply to leadership.
• Must have working knowledge of statistical and/or financial modeling/analyses and the proven ability to apply that knowledge to business data and strategies to independently draw empirically based conclusions.
• Ability to independently manage and defend quantitative analytics with sound documentation of assumptions, limitations, conclusions, and recommendations.
• Strong influencing, negotiation, persuasion, time management, written and verbal communication skills.

Desired Qualifications:

• Previous experience developing first party fraud related strategy and/or reporting and can interpret existing reports to maintain fraud losses and identify variance from historical norms to target ongoing or future attacks.
• Ability to individually run several analytical projects simultaneously, generate results and prioritize within given guidelines.
• Knowledge of enterprise decision strategy and model governance processes.
• Bachelor’s degree in mathematics, statistics, computer science, engineering, economics, finance, or a related quantitative discipline or 4 year of related professional work experience.

Skills:

• Analytical Thinking
• Business Analytics
• Data and Trend Analysis
• Fraud Management
• Problem Solving
• Collaboration
• Innovative Thinking
• Monitoring, Surveillance, and Testing
• Presentation Skills
• Risk Management
• Data Visualization
• Interpret Relevant Laws, Rules, and Regulations
• Issue Management
• Oral Communications
• Written Communications

Minimum Education Requirement: High School Diploma / GED / Secondary School or equivalent

Shift:

1st shift (United States of America)

Hours Per Week:

40