Quantitative Finance & Data AI Analyst

Bank of America; New Jersey; On-site; USD 90,000 - 155,000; Full time

Job summary

United States Digital Space LLC in Jersey City, NJ, seeks an analytics professional to conduct quantitative analytics and modeling for risk management. You will develop models, document methodologies, and collaborate with Technology to run models.

The role centers on end‑to‑end market risk stress testing, data platforms, and AI‑driven data solutions. You will interact with senior management to communicate submission and validation outcomes.

Qualifications

• Bachelor's degree in computer science / engineering, Data Science or Analytics and 4+ years of experience in data & AI platform/solutions and data management
• Strong experience working with risk reporting systems, data warehouses, reporting tools, and governance frameworks
• Familiarity with data quality frameworks, metadata management, data lineage tools, and control monitoring
• Working knowledge of AI and GenAI patterns, lang graph, lang chain, embedding, chunking, RAG, vector stores as well as graphical context processing
• Proven track record of defining and delivering product roadmaps for complex data management or reporting platforms
• Strong stakeholder management and cross‑functional leadership skills
• Proficiency in Agile delivery methodologies (e.g. Scrum, SAFe)
• Excellent communication skills (written, verbal and presentation) with the ability to translate regulatory language into actionable technical requirements
• Strong experience driving the design and development of data & AI solutions, data management & governance products as well as data and reporting platforms
• Expertise in architecting complex design patterns, microservices, API design, data warehouse and data lakes and data pipelines
• Ability to drive data strategy and deep understanding of industry paradigms such as data mesh, data contracts, integration fabric etc.
• Experience with relational and NoSQL data stores and big data environments
• Hands‑on expertise with data technologies and computing frameworks including but not limited to, Python, Spark, Airflow, Javascript and SQL
• Ability to research new data technologies, architect novel data solutions for business problems and prove design approach through hands‑on prototyping
• Experience with data modeling for complex data pipelines, data lake and data platforms
• Strong experience with data management platform such as Collibra (preferred) or understanding of open‑source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez etc.
• Exceptional communication skills and the ability to communicate effectively at all levels of the organization; this includes written and verbal communications as well as visualizations

Responsibilities

• Demonstrates knowledge of data & AI solutions, data platforms, context engineering, agentic AI workflows, data management & model governance practices and standards
• Define target‑state architectures and design artifacts (data models, API specifications, integration patterns) for data platforms, reporting systems and governance workflows across risk domains
• Prototype UI/UX execution for data centric AI solutions by specifying user interfaces, approval flows, and response formats, guiding Figma design and Angular for stakeholder validation
• Design forward‑deployed AI solutions (FDE model) by working closely with business stakeholders to rapidly prototype, customise, and productionise GenAI/LLM use cases (e.g., RAG, agentic workflows, risk analytics copilots)
• Assist quantitative modelers by building data pipelines, API services for prototyping data & AI products using python, Spark, SQL, Relational, NoSQL and Graph data stores. Assist with prompt engineering, AI skills design and maintenance
• Operationalise governance by solutioning Semantic Data Intelligence agents for data contracts, lineage traceability, quality controls and monitoring; measure maturity and drive remediation programmes for GRM information capabilities
• Evangelise and design new data & AI solutions and capabilities to support risk lines of businesses
• Participates in efforts to define the mission, goals, critical success factors, principles, and procedures for data strategy and information architecture
• Understands the end‑to‑end change impact by managing linkages from information capabilities to technical assets (operational + analytical)
• Champion innovation and adoption of modern paradigms‑data products, knowledge/property graphs, LLM‑based RAG systems, agentic AI and GenAI‑assisted stewardship‑to improve discoverability, impact analysis and time‑to‑insight across the risk ecosystem

Skills

Critical Thinking

Quantitative Development

Risk Analytics

Risk Modeling

Technical Documentation

Adaptability

Collaboration

Problem Solving

Risk Management

Test Engineering

Data Modeling

Data Analysis

Process Performance

Written Communications

Education

Bachelor's in CS/Engineering/Data Science

Tools

Python

Spark

Airflow

JavaScript

SQL

Job description

United States Digital Space LLC in Jersey City, NJ, seeks an analytics professional to conduct quantitative analytics and modeling for risk management. You will develop models, document methodologies, and collaborate with Technology to run models.

The role centers on end‑to‑end market risk stress testing, data platforms, and AI‑driven data solutions. You will interact with senior management to communicate submission and validation outcomes.