Fraud Analytics and Innovation Senior Analyst
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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!
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 databases, 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 output
- 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
- Supports biometrics capability enhancements and strategy design
- Builds and develops logic for strategy
- Utilizes portfolio trends to propose strategy and policy changes within segmentation structure to produce optimal results
- 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
LOB 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
LOB Desired Qualifications:
- Bachelor's 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
Pay Transparency details:
US - NY - New York - 1114 Avenue Of The Americas - Grace (NY1544) Pay range: $79,700.00 - $117,300.00 annualized salary, offers to be determined based on experience, education, and skill set. Discretionary incentive eligible. This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits: This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources, and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
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