Quantitative Finance Analyst
AI summary of the role
This role combines quantitative risk analytics with data strategy and AI solution design within Bank of America's Global Risk Management division.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Perform end-to-end market risk stress testing including scenario design, implementation, results consolidation, and reporting.
- Design features to simplify and optimize the data environment through data-centric AI, including architecture and prototyping.
- Evaluate data & AI tools, conduct proof of concepts and pilot projects, and develop remediation plans.
- Design data products to provide high quality data for quantitative modeling solutions for GRM.
What you’ll bring
- Bachelor’s degree in computer science, engineering, data science or analytics with 4+ years experience (or Master’s with 2+ years).
- Strong experience with risk reporting systems, data warehouses, reporting tools, and governance frameworks.
- Working knowledge of AI/GenAI patterns including lang graph, lang chain, RAG, vector stores.
- Hands-on expertise with Python, Spark, Airflow, Javascript, and SQL.
Technologies
Python · Spark · Airflow · Javascript · SQL · Collibra · Apache Atlas · Datahub · RAG · vector stores
About Bank of America
Universal bank serving consumers, businesses and institutions across deposits, lending, wealth, investment banking and markets, anchored by Merrill and BofA Securities.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
GRM, we have established the Data Strategy & Management (DSM) function. A key pillar of this function is a strong data management, data architecture and data platforms foundation. Under the GRM DSM Executive’s leadership, the Quantitative Finance Analyst will help design features to simplify and optimize the data environment through data centric AI, and be accountable for contributing to the architecture & prototyping along with core algorithms for various data and AI powered solutions. Additionally, the analyst will also help evaluate data & AI tools and conduct proof of concepts & pilot projects to arrive at recommended solutions and develop remediation plans to implement those solutions. Responsibilities: Demonstrates knowledge of data & AI solutions, data platforms, context engineering, data management & model governance practices and standards. Uses architecture tools to create
More from the job description
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 Ban [... source excerpt omitted ...] and make an impact. Join us! Job Description: This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products. Responsibilities: Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress s [... source excerpt omitted ...] chnical documentation, and effective challenges on model development/validation Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative
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