Role overview
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!
The Data and AI team within Global Payment Solutions (GPS) at Bank of America
is looking for a highly technical Research Engineer that is a self-starter who can translate complex concepts and generate actionable insights.
Who we are:
The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world. We are the core data scientists building end-to-end production level solutions at scale. The team is a collection of individuals that welcomes challenging problems because that is where the learning begins. Many of our projects begin with “think tank” sessions with business teams that is later translated to tangible solutions and products.
What you'll work on
- Frame abstract business problems using advanced data science and machine learning algorithms
- Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions
- Own critical research and application development, strengthening the firm's competitive advantage
- Shape cross-team collaboration to advance the firm's data science capabilities
What we're looking for
- Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics
- Demonstrated prior experience through work, research or passion projects in RAG, Agentic Frameworks, LLMs, Reinforcement Learning
- Are energized by the high stakes and intensity of dynamic environments and ready to dive in whenever
- Are excited to dive into new technical areas on a regular basis