Data Scientist II - Client Protection

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in‑office culture with specific requirements for office‑based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role‑specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

This job is responsible for reviewing and interpreting large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.

Client Protection Shared Services – Advanced Analytics is looking for an energetic and inquisitive data scientist to join our team and help us combat financial crime. In this role, you will be expected to work on large and complex data science projects that entail working with both relational and graph databases. In these projects, it is expected to collaborate with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud.

Key responsibilities include applying knowledge of multiple business and technical–related topics and independently driving strategic initiatives, large‑scale projects, and overall improvements.

• Perform graph analytics to find and mitigate densely connected fraud networks
• Assist with the generation, prioritization, and investigation of fraud rings
• Enable business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and data driven insights
• Understanding of end‑to‑end model development work, ranging from supervised, unsupervised, and graph‑based machine learning solutions, to maximize detection of fraud or capture anomalous behavior
• Manage multiple priorities and ensures quality and timeliness of work deliverables such as data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
• Manage relationships with multiple technology teams, development team, and line of business leaders, including alignment of roadmaps, managing projects, and managing risks
• Oversee development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business
• Support the identification of potential issues and development of controls
• Support execution of large‑scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytical‑based insights
• Manages a roadmap of data science use cases to answer business trends based on economic and portfolio conditions and communicate findings to senior management, while diligently working and leading peers to solve for these use cases
• Coach and mentor peers to improve proficiency in a variety of systems and serve as a subject matter expert on multiple business and technical‑related topics
• Apply agile practices for project management,…