Quantitative Finance Analyst

Bank of America; Charlotte, Northern (NC, KY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Bank of America is seeking a Quantitative Finance Analyst within Global Risk Management to conduct quantitative analytics and modeling for risk assessment. The role emphasizes developing models, documenting processes, and applying data-driven approaches across risk types.

The position requires broad knowledge of financial markets and products, strong communication with senior stakeholders, and the ability to prototype data-centric AI solutions while contributing to architecture and tooling

Qualifications

• Conduct quantitative analytics and modeling for risk units.
• Develop models and analytic processes with documentation.
• Broad knowledge of financial markets and products.

Responsibilities

• Performs end-to-end market risk stress testing, including scenario design and reporting.
• Supports planning of quantitative work priorities aligned with strategy.
• Identifies improvements through reviews and feedback on model development and validation.
• Supports model development and model risk management to meet business requirements.
• Provides analytical guidance to influence strategy and identify risks in projects.
• Collaborates with stakeholders and management to communicate submissions and validations.
• Performs statistical analysis on large datasets and interprets results.

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.

Job Description:

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.

Job Description:

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.

Job Description:

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.

Job Description:

At Bank of America, you can build a successful career with opportunities to learn, grow, 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 scenario results to better understand key drivers
• Supports the 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

Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model and reputational risk matters to support sustainable, profitable corporate growth.

In a data driven economy, strategic data asset management is foundational to add to the enterprise value. Within 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, 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,