Fraud Analytics and Innovation Senior Analyst
| Company | Bank of America |
|---|---|
| Location | Tampa, FL, USA, Newark, NJ, USA, Phoenix, AZ, USA, Jacksonville, FL, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- 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
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
- 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
- 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.
Preferred 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