Client Quant Analyst - Consumer AI Product Management

Bank of America•Charlotte, NC

13h•Onsite

About The Position

The Consumer AI Product Management team is seeking a motivated candidate to join as a Client Quantitative Analyst. In this role, you will generate actionable insights and identify trends, effectively communicate findings to senior leadership, and define detailed requirements for complex, multi‑generation AI use cases developed in a sandbox environment. You will partner closely with leaders across Consumer business teams to surface and refine AI ideas and collaborate with Technology and Analytics/Modeling/Insights (AMI) teams to test, interpret, and clearly communicate complex results, delivering concise and impactful summaries. This job is responsible for supporting analytical work efforts for various projects within a Line of Business or business discipline. Key responsibilities include leveraging databases to acquire client and performance data, transforming extracted data into meaningful insights and trends, and delivering those insights to leaders to make complex business decisions. Job expectations include working with business partners to understand, coordinate, and deliver agreed upon priorities while communicating complex data outputs and delivering the appropriate summary and data required.

Requirements

Ability to use data tools and techniques to find and deliver data from various sources of record
Proven communications skills in describing complex data to inform strategic insights and decisions
Understanding of advanced machine learning methodologies including neural networks, graph algorithms, Generative AI, and other techniques
Good understanding Agile SDLC with a strong working knowledge of JIRA/ Confluence/ Horizon/ AgileView
Solid understanding of structured data in relational databases and Hadoop as well as various types of unstructured/semi-structured data
Bachelor’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
Coursework in finance, math/statistics and/or computer science

Nice To Haves

Master’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
Experience engaging with cross-functional teams and in large multi-organization formal projects

Responsibilities

Supports the extraction of data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms
Connects provisioned data across multiple sources and performs necessary transformations utilizing both technical, business, and process knowledge to transform data into meaningful values and insights
Performs quantitative techniques and analysis on customer, transaction, and performance data with the guidance from other analysts and supervisors, based on questions provided by business partners, and provides actionable insights for business partners to make informed decisions.
Follows requirements developed by other analysts and supervisors to perform required research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables
Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point, Word, Excel, and Tableau
Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership
Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity