Consumer Behavior Modeler II

Bank of America•Charlotte, NC

1d•Onsite

About The Position

At Bank of America, the company is guided by a common purpose to help make financial lives better through the power of every connection, driving Responsible Growth and delivering for clients, teammates, communities, and shareholders. They are committed to being an inclusive workplace, attracting and developing talent, supporting wellness, recognizing performance, and making community impact. Bank of America maintains an in-office culture with specific attendance requirements, allowing for appropriate flexibility based on role-specific considerations. This role offers opportunities to learn, grow, and make an impact. The Consumer Behavior Modeler II is responsible for creating technical plans from non-technical requirements and delivering project components. Key aspects include effectively structuring and communicating information to senior leaders, writing logically developed documentation, understanding the work stream's purpose and business aspects, and comprehending the model development cycle. The position focuses on incorporating analytical knowledge into digestible contexts and leveraging the bank’s internal data sources and GenAI models to develop tools for quick insight access. It requires working knowledge of financial products across Consumer, Business, and Wealth Management, and the ability to work both independently and collaboratively.

Requirements

Data Mining
Model Development
Artificial Intelligence/Machine Learning
Oral Communications
Problem Solving
Risk Modeling
Technical Documentation
Analytical Thinking
Business Acumen
Innovative Thinking
Presentation Skills
Written Communications
Generative AI Models
Strong hands-on programming experience in Python and SQL.
Knowledge of Unix based environment and shell programming
Excellent analytical and problem-solving skills.
Strong Python development skills with production-quality engineering practices.
Data and infrastructure experience: SQL, Starburst, Teradata, Hadoop, Linux/Unix, and cloud-native or distributed systems.
Experience with LLMs and agent frameworks: LangGraph, LangChain, OpenAI-compatible APIs, MCP, vLLM/Triton, multi-agent orchestration, and advanced prompt engineering.

Nice To Haves

3+ years of directly relevant experience
Advanced degree in engineering, computer science, statistics or another heavy quantitative discipline
Software engineering experience: FastAPI services, containerization, model deployment, and monitoring.

Responsibilities

Demonstrates an advanced understanding of statistical modeling requirements expressed in a technical language and executes per a specified plan and timeline
Builds basic multivariate statistical models and makes logical inferences of relevant statistical assumptions
Analyzes and sanitizes large volumes of data
Communicates and collaborates with direct manager, peers and business partners
Produces structured and organized documentation; writes code that is well documented and easy to understand
Leverage GenAI based tools that take natural-language queries and return insights from large datasets
Develop and implement LLM-based solutions to enhance data analysis and insight generation.
Research and evaluate new models and methods (prompting, fine-tuning, embeddings, evaluation harnesses, and guardrails), and develop lightweight prototypes that can be productionized