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Quant Research Jobs (NOW HIRING)

Graduate Quant Researcher Program Chicago 2027 Maven Securities is a leading proprietary trading ... Research and analyze trading data to find and test trading opportunities How and what you will ...

Akuna's Quant team is looking to add Quant Research Interns to a team of mathematicians, statisticians and technologists for our 10-week Akunacademy internship program in our Chicago office. This ...

Akuna's Quant team is looking to add Quant Research Interns to a team of mathematicians, statisticians and technologists for our 10-week Akunacademy internship program in our Chicago office. This ...

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals ...

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals ...

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Quant Research information

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$81.5K

$100.1K

$128K

How much do quant research jobs pay per year?

As of Sep 3, 2026, the average yearly pay for quant research in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is quant research?

Quantitative Research, often called 'Quant Research,' involves applying mathematical models, statistical techniques, and data analysis to financial and investment problems. Quant researchers typically work in finance or investment firms, where they develop algorithms and strategies for trading, risk management, or portfolio optimization. Their work relies heavily on programming, mathematics, and analytics to interpret large datasets and make data-driven decisions. Quant Research roles often require advanced degrees in fields such as mathematics, physics, computer science, or engineering.

What are the key skills and qualifications needed to thrive as a quant researcher?

To thrive as a Quant Researcher, you need strong quantitative analysis, statistical modeling, programming expertise (often in Python, R, or C++), and typically an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with data analysis platforms, machine learning libraries, and financial market data systems is essential. Analytical thinking, attention to detail, and effective communication help you present complex findings clearly and collaborate across multidisciplinary teams. These skills and qualities are crucial for developing robust trading strategies and making data-driven decisions in highly competitive financial environments.

What are the common challenges faced by quant researchers when working with large datasets, and how can they be addressed?

Quant Researchers often encounter challenges such as data quality issues, incomplete records, and computational limitations when handling large datasets. It's essential to implement robust data cleaning and validation processes to ensure accuracy. Leveraging high-performance computing resources and efficient algorithms can help manage computational demands. Additionally, collaborating closely with data engineers and IT teams can streamline data access and workflow, allowing researchers to focus on model development and analysis.

What is the difference between Quant Research vs Quant Analyst?

AspectQuant ResearchQuant Analyst
Required CredentialsTypically requires advanced degrees (Master's or PhD) in quantitative fields, strong programming skillsOften requires similar degrees, with a focus on applying models to trading or investment strategies
Work EnvironmentResearch-focused, often in labs or dedicated research teams within financial firmsMore application-oriented, working closely with trading desks or portfolio managers
Employer & Industry UsageCommon in hedge funds, investment banks, and asset management firmsWidely used in trading firms, hedge funds, and asset management companies

While both roles require strong quantitative skills and similar educational backgrounds, Quant Researchers primarily focus on developing new models and theories, whereas Quant Analysts apply these models to support trading decisions and manage portfolios. The roles often overlap but differ in their core focus and daily tasks.

How much does a quant researcher make?

A quant researcher typically earns between $80,000 and $200,000 annually, with senior roles and those in major financial centers earning higher salaries. Compensation often includes bonuses and profit-sharing, especially in hedge funds and investment banks, and requires strong skills in mathematics, programming, and financial modeling.

What does a quant researcher do?

A quant researcher develops mathematical models and algorithms to analyze financial data and identify trading opportunities. They use programming languages like Python or R, and often work with large datasets to inform investment strategies or risk management. Strong analytical skills and knowledge of finance and statistics are essential for this role.
More about Quant Research jobs

What cities are hiring for Quant Research jobs?

Cities with the most Quant Research job openings:

What states have the most Quant Research jobs?

States with the most job openings for Quant Research jobs include:

Infographic showing various Quant Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $100,127 per year, or $48.1 per hour.

Graduate Quant Researcher 2027 - Chicago

Maven

Chicago, IL

$150K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 hours ago


Job description

Graduate Quant Researcher Program Chicago 2027

Maven Securities is a leading proprietary trading firm that leverages sophisticated technology and quantitative analysis to trade in global financial markets. We specialize in options and derivatives market making, where your skills can be directly applied to have a real impact.

At Maven, we believe exceptional careers are built deliberately. Our graduate program is designed for a small number of high-potential individuals each year, combining comprehensive training, real responsibility, and long-term development. We don't hire large classes with the expectation that only a few will succeed, we invest in every individual who joins the team.

Program details:

  • Location: Chicago (based in London for training period)
  • Program start date: September 6th, 2027
  • Application deadline: Rolling basis

Base salary: $150,000-175,000 dependent on education and experience 

You'll begin with a structured 7-week training program in London, designed to prepare you for a career in quantitative research. This initial phase focuses on building the technical foundations and professional skills needed for the role, as well as forming crucial working relationships with your UK counterparts - both on the Graduate Program and more senior stakeholders. 

Following training, you'll return to Chicago and roll onto two project rotations, where you'll continue to learn through hands-on experience. Maven offers a few days of leave to support this transition, as well as travel, accommodation and relocation support. 

What you will be doing:

  • Design, evaluate and continuously improve our automated trading algorithms
  • Build quantitative pricing models, for example American Option Pricing and Volatility Modeling
  • Research and analyze trading data to find and test trading opportunities

How and what you will learn:

  • Progress through a structured onboarding program with clear learning milestones
  • Build your foundation through theory and exercise-led training, led by Maven's Head of Technology Training & Graduates
  • Learn about financial markets, our platforms and specific quant research field for OMM, apply your academic research abilities and learn how to perform research on real-world data of varied volume and sampling frequency across a variety of domains
  • We will teach you how to use and master Maven's in-house tools and systems. Maven utilizes the latest technology in order to meet and exceed our demanding business challenges
  • Attend regular check-ins with the Quant Researcher and Emerging Talent teams

Who you are:

Key criteria:

  • A Bachelor's, Master's or PhD student in applied mathematics, statistics, engineering or physics 
  • Relevant programming experience in at least one language (Python, C++, C#)
  • Proactive interest in improving existing trading strategies and identifying new opportunities
  • Motivated for quantitative research, financial services and trading, with knowledge of financial markets 
  • A willingness to adopt and utilise emerging AI technologies

We're looking for someone who is:

  • An entrepreneurial thinker with the ability to generate ideas, take initiative and drive innovation
  • A critical problem solver and decision maker who can analyze situations, think clearly and make effective decisions
  • An agile learner who is able to quickly acquire knowledge, take on feedback, adapt and apply insights across different contexts
  • Able to synthesize information, resolve conflicting inputs, see the bigger picture, and translate complex information into actionable recommendations
  • Collaborative and influential, able to build trust, work effectively with others and positively impact the team
  • Results-focused and accountable, taking ownership and delivering outcomes reliably

Why Maven?:

  • Dedicated In-House Trainers: Gain the tools to succeed in a rapidly evolving market, where AI is integral to our strategy and daily operations. Our tailored curriculums are led by in-house experts and cover both technical and professional skills, as well as guidance on how to adopt AI best practices
  • Accelerate Your Career: Every permanent colleague receives a dedicated learning and development budget, full access to our online learning platform, and frequent training sessions led by our Maven experts
  • Proven Pathways: Benefit from our structured pipeline programs that set you up for long-term success. Around a quarter of Maven's workforce joined through an Emerging Talent Program, with many staying from Spring Week through the Graduate Program and beyond
  • Supported to Succeed: We are committed to fostering an inclusive workplace where everyone can perform at your best. We offer recruitment support where needed, and employee resource groups that help build community across the firm
  • Grow with Guidance: Enjoy regular feedback, structured review points, and informal off-desk chats. Everyone in our Emerging Talent Programs is also paired with a Maven buddy for practical advice and day-to-day support
  • Make a Real Impact, Fast: From the start of the projects, you'll be embedded in the team and learn directly from other Quant Researchers. After this, you'll transition onto a permanent position within the team, where you'll continue building upon the skills taught in the program

Please note:

  • We accept one application per candidate, per recruitment cycle
  • Visa sponsorship is available for selected roles, please see our FAQ page for details

Maven is an equal opportunity employer. We encourage applications from candidates of all backgrounds, and do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other basis protected by applicable law. 


Benefits at Maven

As a graduate joining Maven, you'll be eligible for a range of benefits, including:

  • 25 days of PTO plus US national holidays, which we expect you to take
  • Private medical and dental cover, eye care support, life assurance, 401k or Roth retirement plans, and an Employee Assistance Program
  • Consideration for a discretionary annual bonus
  • An annual learning and development budget, alongside wider training and development opportunities
  • Wellness benefits, including free use of the building gym and access to ClassPass
  • Frequent social events, from welcome dinners and summer parties to company sports leagues and boat tours!
  • Daily breakfast in the office and a lunch allowance, plus snacks and drinks throughout the day
  • Enhanced family-friendly policies, including maternity, paternity, adoption, fertility and partner's leave
  • Work in a forward-thinking environment where AI is integral to our strategy and daily operations