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 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.
Responsibilities:
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Primary responsibility is to create / update business rules to minimize the false-positive commercial Fraud alerts to improve efficiency and effectiveness of the CoE’s alert review process.
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Manage the multiple on-going initiatives by attending calls from various projects, understand the commercial Fraud needs from the projects, Provide requirements to the projects and track the status of these projects.
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Analyze alerts on a daily basis to chalk out strategies using different pattern matching and trending techniques
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Ability to query & analyze the data required for ad hoc requirements on the fly and generate reports for the team to use.
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Work with technology teams for requirements / testing and implementing changes to improve / automate processes.
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Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set
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Develops and executes on Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for all topics related to data compliance, and manages operational elements of the (Enterprise Data Strategy Governance and Operations (EDSGO) relationship
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Manages data related incidents and identifies, communicates, and resolves or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives to inform
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Develops, manages, and executes on controls, ensuring tracking, monitoring, and resolution of any control breaches with data platform
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Partners with Business and Technology functions to drive the development of business and functional requirements documents and ensures strategic upstream resolution for data related incidents
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Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
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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
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Leads coordination of the production of product performance reports and updates for senior management
Required Qualifications:
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Bachelor's degree in Computer Science, Data Management, Statistics or related fields or equivalent experience
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1+ years experience in SQL/SAS
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Intermediate knowledge in SQL and using tools like TOAD, SQL Server
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Awareness of AI / Machine learning concepts and ability to implement such strategies
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Experience in data analytics and interpretation of large volumes of data
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Scripting experience with any language like Python, Java, VB, SAS
Desired Qualifications:
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Experience in financial fraud processes
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Data transformation / formatting experience and able to work with data in different formats
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Knowledge of Global Financial Crimes programs requirements
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Experience in Global Banking & Markets business process
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Logical thinking capabilities with a technical mind-set
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Advanced knowledge in using Microsoft Excel and MS Access
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Knowledge of PowerBI /Tableau
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Ability to prioritize, use own initiative, make quick decisions, be flexible and work independently
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Ability to work remotely, with teams spread globally, under pressure, meet deadlines and navigate change
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Ability to work and interact with people from a diverse range of backgrounds and opinions
Skills:
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Business Analytics
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Business Intelligence
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Data Quality Management
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Fraud Management
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Monitoring, Surveillance, and Testing
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Collaboration
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Data Visualization
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Oral Communications
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Problem Solving
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Written Communications
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Analytical Thinking
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Critical Thinking
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Data and Trend Analysis
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Innovative Thinking
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Research
Shift:
1st shift (United States of America)
Hours Per Week:
40
