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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
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Job Description:
This job is responsible for performing more complex analysis and modeling to minimize 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 and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.
The Client Protection data analyst will provide analytical and data support for Consumer fraud and non-fraud products supporting Adhoc report and analytical requests to support fraud and claims LOBs. The candidate will coordinate the production of performance reports and updates for key stakeholders in strategy, claims, finance, and product. The candidate will utilize established databases to provide performance insights to key stakeholders. The candidate will be tasked with analyzing and completing Adhoc reports that will provide insights into performance, risk, client impacts, recoveries, and potential gaps.
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 coordination of the production of product performance reports and updates for senior management
- Analyze complex data to provide insights into incoming and loss trends or identify potential problems
- Develop reporting for Consumer Card Products and Channels including audit / regulatory reports
- Identify process improvements and efficiencies via data analysis
- Participate in collaborative reporting and design sessions with organizational stakeholders and business owners to design, build, and deliver reports and dashboards to meet business goal
- Develop and maintain automated production environment using stored procedures
- Collaborate with other developers to create / maintain scalable processes and best practices
- Manage multiple projects, shifting priorities as needed to produce accurate work while meeting established deadlines
- Deliver accurate metrics related to fraud and claim activity
- Validate the integrity and quality of data required for performing analysis
- Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals.
- Other duties as assigned
This position is not eligible for sponsorship
Required Qualifications:
- 2+ years of analytical experience (Payment card /Retail Bank background preferred)
- 2+ years of SAS and/or SQL
- Tableau and/or MicroStrategy
- 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
- Proven strong analytical and communication skills
Desired Qualification:
- Bachelors degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business
- MBA or graduate level work in finance, accounting, and/or business management is preferred
- 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.)
- Python, Hadoop
- 2+ years of fraud experience
Skills:
- Business Analytics
- Business Intelligence
- Data Quality Management
- Fraud Management
- Monitoring, Surveillance, and Testing
- Collaboration
- Data Visualization
- Oral Communications
- Problem Solving
- Written Communications
- Analytical Thinking
- Critical Thinking
- Data and Trend Analysis
- Innovative Thinking
- Research
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 and benefits information
Pay range
$79,700.00 - $118,900.00 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.