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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

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.

The Alert Prioritization and Self-Service team within the Client Protection Organization is looking for an experienced fraud analyst to join our growing team. We are focused on driving operational and process efficiency to protect the accounts of our clients and minimize both client disruption and fraud loss.  Analysts will have the opportunity to gain exposure to just about all products across Consumer and Small Business, including application fraud, digital money movement like Zelle, account take over, credit and debit cards. We are tasked with having quality oversight for our self-service processes, completing defect reviews, and monitoring the fraud platform access. Implementation opportunities will span fraud policy modifications, evaluation of digital client communication through text, email and push channels, and oversight of fraud system privileges.

We are looking for a smart, energetic candidate with fraud experience, a great sense of urgency and an excellent approach to teamwork. Focus areas will be:

• Build relationships and drive business initiatives across various Client Protection strategies, policy, operations and technology areas.

• Drive and support funded technology projects across applicable LOBs, including new product launches and client contact capability enhancements.

• 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.

• Proactively managing fraud risk by urgently responding to immediate threats while keeping an eye toward future risks, vulnerabilities, and changes to the fraud landscape.

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

Required Qualifications:

• Understanding of 1st and 3rd party fraud, scams and/or mules

• 1+ years of project management or team manager experience

• Ability to build and maintain relationships with line of business leaders and multiple stakeholders throughout the organization

• Strong written and oral communication skills

• Strong analytical skills

• Ability to manage multiple projects in a complex and rapidly-changing environment

• Ability to work independently as well as part of a team

• Excellent time management skills

• Intellectually curious and willing to dive into complete issues\problems and solve

Desired Qualifications:

• Proven track record of building and deploying Fraud process and control changes

• Advanced Excel capability

• Bachelor’s degree

• 2+ years of Flash system experience within multiple fraud LOBs

• SQL/SAS Coding knowledge and/or experience    

• 2+ years of fraud/fraud detection experience

• Experience performing complex data analytics to identify fraud trends, measure business performance, and support strategic decision-making

• Working knowledge of SAS and/or SQL, including the ability to extract, manipulate, analyze, and validate large datasets

• Experience translating analytical findings into actionable recommendations and executive-level reporting

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

Internal employees who are currently working from home are still eligible to apply. However, if selected for the role, you may be required to work onsite in accordance with the workplace excellence policy.

Shift:

Hours Per Week: