Quantitative Finance Analyst

Bank of America; Charlotte (NC); On-site; USD 89,800 - 153,300; Full time

Benefits offered by this job

Comprehensive benefits

Paid time off

Discretionary incentive eligibility

Job summary

Bank of America is seeking a Quantitative Finance Analyst in Charlotte, NC, to lead data-centric AI initiatives within Global Risk Management. The role involves conducting quantitative analytics, managing risk stress testing, and supporting model development. Candidates should have a Bachelor’s in Computer Science or Data Science, with 4+ years of relevant experience. Strong familiarity with data tools such as Python, Spark, and risk management systems is essential. Competitive salary range offered: $89,800 - $153,300 annually, with comprehensive benefits.

Qualifications

• 4+ years of experience in data & AI platform/solutions and data management.
• Strong experience with risk reporting systems and data warehouses.
• Knowledge of AI and GenAI patterns.
• Proven track record of product roadmaps for data platforms.
• Strong stakeholder management skills.

Responsibilities

• Conduct quantitative analytics and modeling for risk management.
• Perform market risk stress testing and report results.
• Support model development and risk management.
• Manage data strategy and architecture for AI solutions.
• Collaborate with stakeholders on validation outcomes.

Skills

Critical Thinking

Quantitative Development

Risk Analytics

Risk Modeling

Data Modeling

Problem Solving

Communication

Education

Bachelor’s degree in computer science/engineering, Data Science or Analytics

Master’s degree in relevant field

Tools

Python

Spark

SQL

Collibra

Airflow

Job description

Job Overview

Quantitative Finance Analyst leading data‑centric AI initiatives within Global Risk Management (GRM). This role includes conducting quantitative analytics and modeling projects for specific business units or risk types, designing data environment features to simplify and optimize operations, and contributing to architecture, prototyping, and core algorithms for data and AI powered solutions. The analyst also evaluates data & AI tools, conducts proofs of concept, pilots projects, and develops remediation plans.

Quantitative Analytics Responsibilities

• Performs end‑to‑end market risk stress testing including scenario design, implementation, results consolidation, internal and external reporting, and analyses stress scenario results to better understand key drivers.
• Supports planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization.
• Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical 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 approaches.

Data & AI Responsibilities

• Demonstrates knowledge of data & AI solutions, data platforms, context engineering, data management & model governance practices and standards.
• Uses architecture tools to create design artifacts, including but not limited to data models, architecture, API design and data solutions architecture.
• Undertakes architecture & solutioning for data and data‑centric AI solutions as well as one or more data management products such as Data Catalog, Data Lineage, Data Feeds Registry, Data Quality and related data services.
• Designs data products to provide high‑quality data for quantitative modeling solutions for GRM.
• Applies knowledge to perform regular assessments of the health and maturity of data & information capabilities for the Global Risk Management (GRM) domain.
• Evangelizes and designs 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).
• Maintains integrated logical data models and data flows to understand data and its interdependencies regardless of its usage pattern.

Required 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; or Master’s degree and 2+ years’ experience.
• 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, language graph, language 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.

Desired Qualifications

• Working knowledge of data storage layers / formats such as Apache Iceberg, Hudi, Delta Lake etc. as well as Parquet, JSON and Avro.
• Experience with graph processing and storage technologies such as knowledge graphs / property graphs with working knowledge of at least one graph store such as TigerGraph (preferred).
• Exposure to linked data / open data, and GenAI based data solutions is a plus.

Skills

• Critical Thinking
• Quantitative Development
• Risk Analytics
• Risk Modeling
• Technical Documentation
• Adaptability
• Collaboration
• Problem Solving
• Risk Management
• Test Engineering
• Data Modeling
• Data and Trend Analysis
• Process Performance Measurement
• Research
• Written Communications

Shift

1st shift (United States of America)

Hours Per Week

40

Pay and Benefits

US - NJ - Jersey City - 525 Washington Blvd (NJ2525)
Pay range $89,800.00 - $153,300.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible. This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits: This role is currently benefits eligible. We provide industry‑leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.