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Quantitative Finance Analyst Jobs (NOW HIRING)

$90 - $155/hr

Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches As a Quantitative Finance Analyst on the team, your main responsibilities ...

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Quantitative Finance Analyst information

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$56.5K

$133.9K

$240K

How much do quantitative finance analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for quantitative finance analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a quantitative finance analyst?

A Quantitative Finance Analyst, often called a 'quant,' is a professional who uses mathematical models, statistics, and computer programming to analyze financial markets and securities. Their work typically involves developing trading algorithms, assessing risk, and pricing complex financial instruments. Quants play a critical role in investment banks, hedge funds, and asset management firms, helping organizations make data-driven investment decisions. They usually have strong backgrounds in mathematics, statistics, finance, and programming.

What are the key skills and qualifications needed to thrive as a quantitative finance analyst?

To thrive as a Quantitative Finance Analyst, you need a strong background in mathematics, statistics, programming, and finance, often supported by a degree in a quantitative field such as mathematics, finance, or engineering. Proficiency in technical tools like Python, R, MATLAB, and familiarity with financial modeling platforms and databases is typically required, along with certifications such as CFA or FRM being advantageous. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data, collaborate with teams, and present actionable insights to stakeholders. These skills are crucial for developing accurate financial models, managing risk, and driving data-driven decision-making in fast-paced financial environments.

What are some common challenges quantitative finance analysts face when developing and implementing new financial models?

Quantitative Finance Analysts often encounter challenges such as ensuring data quality and accuracy, managing the complexity of mathematical models, and aligning models with real-world market behavior. They must also navigate regulatory constraints and work closely with IT and trading teams to integrate models into production systems. Staying updated on the latest quantitative techniques and adapting to rapidly changing market conditions are crucial for success in this role.

What is the difference between Quantitative Finance Analyst vs Quantitative Research Analyst?

AspectQuantitative Finance AnalystQuantitative Research Analyst
Required CredentialsDegree in Finance, Economics, or Mathematics; often CFA or FRM certificationsDegree in Mathematics, Statistics, or Computer Science; similar certifications may apply
Work EnvironmentFinancial institutions, hedge funds, asset management firmsResearch firms, hedge funds, financial technology companies
Employer & Industry UsageUsed for developing trading strategies, risk management, and financial modelingFocuses on developing new models, algorithms, and research for trading and investment

Both roles involve quantitative skills and financial knowledge, but Quantitative Finance Analysts typically focus on applying models to trading and risk management, while Quantitative Research Analysts emphasize developing new research methods and algorithms for investment strategies.

More about Quantitative Finance Analyst jobs

What cities are hiring for Quantitative Finance Analyst jobs?

Cities with the most Quantitative Finance Analyst job openings:

What are the most commonly searched types of Quantitative Finance Analyst jobs?

The most popular types of Quantitative Finance Analyst jobs are:

What states have the most Quantitative Finance Analyst jobs?

States with the most job openings for Quantitative Finance Analyst jobs include:

Infographic showing various Quantitative Finance Analyst job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Finance Analyst

Bank of America

Atlanta, GA

Full-time

PTO

Re-posted 17 hours ago


Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 530 frontline employees who took The Breakroom Quiz

50th of 171 rated banks


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 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:

  • Champion the integration of AI capabilities into existing applications, workflows, and analytics platforms to improve efficiency, automation, and decision-making.

  • Implement, maintain, and enhance analytical models supporting customer decisioning, consumer behavior analytics, credit risk assessment, and stress testing initiatives.

  • Translate business requirements and model specifications into scalable production solutions using Python, SQL, and enterprise data platforms.

  • Develop and support model execution, validation, monitoring, and deployment processes while partnering with business, analytics, and technology teams to ensure reliable implementation and operational performance.

Overview of Global Risk Analytics (GRA)

Bank of America has an opportunity for a Quantitative Financial Analyst within the Global Risk Analytics (GRA) organization. GRA is part of Global Risk Management (GRM) and is responsible for developing a consistent and coherent set of models and analytical capabilities for effective risk and capital measurement, management, and reporting across the bank. GRA partners with the Lines of Business and Enterprise functions to deliver solutions that address both business and regulatory requirements while remaining responsive to evolving portfolios, economic conditions, and emerging risks. Through its work, GRA drives innovation, process improvement, automation, and analytical excellence.

Overview of Consumer Model Development and Operations

The Consumer Model Development & Operations (CMDO) team is part of Global Risk Analytics. It provides quantitative solutions to enable effective risk and capital management across the Retail and Global Wealth & Investments Management (GWIM) lines of business. The team places strong emphasis on delivering world class quantitative solutions for Front Line Unit (FLU) model owners and stakeholders through a disciplined and iterative development process. The team has responsibilities across a number of areas:

  • Quantitative Modeling - Develop and maintain risk and capital Models and Model Systems across Retail and GWIM product lines. Models and Model Systems provide insight into many risk areas, including loan default, exposure at default (EAD), loss given default (LGD), delinquency, prepayment, balances, pricing, risk appetite, revenues and cash flows.

  • Quantitative Development - Architect, implement, maintain, improve and integrate quantitative solutions on strategic GRA platforms. Outputs include GRA libraries that perform consumer risk model calculations, analytical tools, processes and documentation. Partner in defining, adopting, and executing GRA's technical strategy.

  • Risk and Capital Management Capabilities - Build best in class quantitative solutions that enable the Retail and GWIM lines of business to effectively manage risk and capital, through the application of the disciplined BAU development process that includes extensive interaction with the FLU model owners and stakeholders throughout the quantitative lifecycle.

  • Infrastructure - Partner in driving forward the infrastructure to support the goals of GRA through code efficiencies, and expansion of quantitative capabilities to better leverage infrastructure and computational resources.

  • Documentation - Deliver concise, quantitative documentation to inform stakeholders, meet policy requirements, and enable successful engagement in regulatory exams (e.g., CCAR, CECL) via automated, modularized, and standardized documentation and presentations.

Minimum Education Requirement: Masters or PhD in Computer Science, Engineering, Statistics, or similar discipline, and a minimum 2 year relevant experience.

Successful candidates will possess the following skills:

  • Ability to work in a large, complex organization, and influence various stakeholders and partners

  • Self-starter; Initiates work independently, before being asked

  • Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others

  • Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences

  • Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow

  • Strong programming skills, e.g. Python, R, or similar language

  • Strong analytical and problem-solving skills

Preferred Programming & Analytics Experience:

  • Strong Python development skills with experience leveraging AI/ML frameworks and software engineering best practices, including Git, CI/CD, and automated testing.

  • Experience designing, developing, and maintaining scalable software applications, data pipelines, and processing solutions using Python, SQL, and distributed computing technologies in enterprise environments.

  • Proven ability to translate business requirements and analytical models into production-ready applications, including consumer behavior, credit risk, and stress testing model implementations.

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 Transparency details

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)Pay and benefits informationPay range$89,800.00 - $155,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis 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.BenefitsThis 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.

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

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