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Quant Jobs in Chicago, IL (NOW HIRING)

Systematic Options Trader

Chicago, IL · On-site

$80 - $120/hr

About the Position Old Mission Capital, a global quantitative proprietary trading firm, is currently hiring a talented trader to join its growing FICC desk. The ideal candidate will be a proficient ...

Quantitative Researcher

Chicago, IL · On-site

$125K - $200K/yr

Graduate Quantitative Researcher (2027 Incoming Graduate, Full-Time) Chicago 3Red Partners LLC, a proprietary trading firm headquartered in Chicago, is seeking a Graduate Quantitative Researcher ...

As our Quant Director, you won't just oversee research-you will own the commercial impact of our insights. We need a critical thinker to uncover the "problem behind the problem" and ensure our work ...

As our Quant Director, you won't just oversee research--you will own the commercial impact of our insights. We need a critical thinker to uncover the "problem behind the problem" and ensure our work ...

... the quant team and be expected to have an entrepreneurial mindset. Responsibilities * Investigate existing equities, commodities, and FX pricing models and propose improvements. * Calibrate new ...

As our Quant Director, you won't just oversee research-you will own the commercial impact of our insights. We need a critical thinker to uncover the "problem behind the problem" and ensure our work ...

Quantitative Researcher

Chicago, IL · On-site

$125K - $200K/yr

Graduate Quantitative Researcher (2027 Incoming Graduate, Full-Time) Chicago 3Red Partners LLC, a proprietary trading firm headquartered in Chicago, is seeking a Graduate Quantitative Researcher ...

Quantitative Trader

Chicago, IL · On-site

$150 - $200/hr

Quantitative Traders not only become experts in trading technology and its interaction with the market, but they also play a crucial role in the evolution of market micro structure and the driving ...

Showing results 41-60

Quant information

See Chicago, IL salary details

$101K

$174.8K

$267.3K

How much do quant jobs pay per year?

As of Aug 22, 2026, the average yearly pay for quant in Chicago, IL is $174,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,600.00 and $205,000.00 per year, depending on experience, location, and employer.

What is a quant?

Quants, short for quantitative analysts, are professionals who use mathematical models, statistics, and computational techniques to analyze financial data and develop trading strategies. They are typically employed by investment banks, hedge funds, asset management firms, and financial technology companies. Quants play a crucial role in pricing securities, managing risk, and optimizing portfolios. Their expertise is essential for making data-driven decisions in complex financial markets.

What does a quant do?

Quant refers to a quantitative analyst whose responsibilities are to research and analyze market trends in finance. As a quant, you research and decipher statistics and design financial models to help banks, insurance companies, and other finance-focused organizations assess and prevent their risk, make sound investments, and better understand pricing structures to increase profit. Your duties also include creating codes for programs that follow financial trends and patterns, recording data and analyses, and consulting with business leaders in an organization to offer suggestions to combat potential financial risks. Large financial institutions and firms with trading processes typically hire quants.

What are the key skills and qualifications needed to thrive as a quant, and why are they important?

To thrive as a Quant, you need strong quantitative and analytical skills, typically supported by advanced degrees in mathematics, statistics, physics, or related fields. Proficiency with programming languages like Python or C++, financial modeling, and familiarity with tools such as MATLAB or R are essential, along with knowledge of financial markets. Exceptional problem-solving, attention to detail, and effective communication help Quants stand out in collaborative and high-stakes environments. These skills enable Quants to develop robust models and strategies that drive critical decision-making and risk management in finance.

What are some common challenges faced by quants when collaborating with software developers and traders?

Quants often encounter challenges in bridging the gap between theoretical models and practical implementation. Effective communication is essential, as translating complex quantitative concepts into actionable trading strategies requires close collaboration with both software developers and traders. Misunderstandings can occur due to differences in technical language or priorities, so fostering a collaborative environment and being open to feedback is crucial. Regular meetings and clear documentation can help ensure that models are accurately implemented and aligned with trading objectives.

What is the difference between Quant vs Data Analyst?

AspectQuantData Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires advanced degreesBachelor's in Statistics, Economics, or related field; sometimes requires certifications
Work EnvironmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, market research
Employer & Industry UsagePrimarily in finance and tradingAcross various industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding quantitative roles in financeExploring data analysis careers

While both Quant and Data Analyst roles involve working with data, Quants focus on developing complex models for trading and risk management in finance, often requiring advanced degrees and specialized skills. Data Analysts typically interpret data to inform business decisions across industries, with a broader scope and different tools. The roles overlap in data handling but differ significantly in application and industry focus.

Are quant jobs high paying?

Quant jobs, which involve quantitative analysis and modeling, are generally high paying within the finance industry due to the specialized skills required, such as programming, mathematics, and data analysis. Salaries can vary based on experience, location, and the firm, but they are often among the top-paying roles in finance and technology sectors.

What are the jobs in quant?

Quant jobs typically involve developing and implementing mathematical models to analyze financial data, manage risk, and inform trading strategies. Common roles include quantitative analyst, quantitative researcher, quantitative developer, and risk manager, often requiring strong skills in programming, statistics, and finance. These positions are prevalent in investment banks, hedge funds, and asset management firms.

What are the most commonly searched types of Quant jobs in Chicago, IL?

The most popular types of Quant jobs in Chicago, IL are:

Infographic showing various Quant job openings in Chicago, IL as of August 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $174,845 per year, or $84.1 per hour.

Quantitative Finance Analyst

Bank of America

Chicago, IL

Full-time

PTO

Re-posted 28 days ago


Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 529 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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