Global Markets, Quantitative Finance Analyst

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 Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description

The Market Data & Analytics (MDA) team develops innovative market data, quantitative analytics, and technology solutions that support Global Markets risk measurement, regulatory capital, and strategic business initiatives. The team operates at the intersection of quantitative finance, market data, and technology, delivering scalable solutions that enable accurate risk factor representation, data management, and analytical capabilities across the firm's risk platforms.

Working closely with Market Risk Methodology, Risk Managers, Front Office partners, and Technology teams, the successful candidate will contribute to the design, implementation, and enhancement of market data frameworks, risk analytics solutions, and technology platforms supporting VaR, SVaR, FRTB, Stress Testing, and other market risk initiatives.

Requirements

• Design and enhance market data and risk factor frameworks supporting market risk, regulatory capital, and quantitative analytics initiatives.
• Develop solutions for the construction, management, and optimization of historical market data and quantitative time series across multiple asset classes.
• Partner with business and technology stakeholders to define requirements, data architecture, and strategic solutions for market risk platforms.
• Analyze complex market data challenges and develop innovative approaches for risk factor representation, proxy methodologies, data transformations, and analytical modeling.
• Drive automation, process reengineering, and platform modernization initiatives to improve scalability, efficiency, and data accessibility.
• Support the implementation, testing, and rollout of market risk models, regulatory capital initiatives, and technology enhancements.
• Perform quantitative analysis and impact assessments related to market data changes, new products, regulatory developments, and business initiatives.
• Collaborate across Risk, Front Office, Quantitative, and Technology teams to deliver innovative solutions for complex market risk and data challenges.

Qualifications

• Bachelor's degree required; Master's degree preferred in Finance, Financial Engineering, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.
• 2+ years of experience in Market Risk, Market Data, Quantitative Analytics, Risk Technology, Financial Engineering, or related disciplines.
• Strong understanding of financial markets, risk factors, and market risk concepts, including VaR and related risk measurement methodologies.
• Experience with data analysis, quantitative problem solving, and technology-enabled solutions; proficiency in Python, SQL, Excel, or similar analytical tools is preferred.
• Strong communication, analytical, and stakeholder management skills with the ability to work effectively in a fast-paced and collaborative environment.

Shift:

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