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Quant Researcher Jobs (NOW HIRING)

... quantitative techniques and market intuition to large datasets. You will be advancing existing initiatives and pursuing new, previously unexplored research topics. You get todevelop systematic ...

Our client, a robust US HedgeFund, is currently seeking a Quantitative Researcher for the firm's Delta One group. The group is focused onquantitativemarket making and arbitrage strategies in numerous ...

Quantitative Researcher

Chicago, IL · On-site

$200K - $400K/yr

Permanent Quant Researcher, HFT Equities/Futures - NYC/Chicago Anson McCade have partnered with a renowned proprietary trading firm which engages in market making and position-taking strategies ...

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Quant Researcher information

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$52.5K

$119.2K

$196.5K

How much do quant researcher jobs pay per year?

As of Jul 7, 2026, the average yearly pay for quant researcher in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Quant Researcher position, and why are they important?

To thrive as a Quant Researcher, you need a strong background in advanced mathematics, statistics, and programming, often supported by a graduate degree in a quantitative field such as mathematics, physics, computer science, or engineering. Expertise in technical tools such as Python, R, MATLAB, and familiarity with data analysis platforms and financial modeling libraries is typically required. Critical thinking, problem-solving abilities, and effective communication are important soft skills that help you convey complex quantitative findings to both technical and non-technical stakeholders. These skills enable Quant Researchers to develop robust financial models, optimize strategies, and contribute to data-driven decision-making in competitive finance environments.

Are quant researchers in demand?

Quant researchers are in high demand in finance, technology, and hedge funds due to their expertise in data analysis, statistical modeling, and programming skills. The role often requires proficiency in tools like Python, R, or MATLAB, and employment opportunities are expected to grow as data-driven decision-making becomes more prevalent.

What do you do as a quant researcher?

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 in this role.

What jobs make $1,000,000 a year?

Quant researchers in finance, especially those working at hedge funds, investment banks, or proprietary trading firms, can earn $1,000,000 or more annually through base salary, bonuses, and profit sharing. High-level roles often require advanced degrees, strong quantitative skills, and experience with programming languages like Python or C++, as well as a deep understanding of financial markets. Such compensation is typically associated with senior positions and successful trading strategies.

What does a Quant Researcher do?

A Quant Researcher develops mathematical models and algorithms to analyze financial markets, identify trading opportunities, and optimize investment strategies. They use statistical techniques, programming skills, and financial knowledge to extract insights from large datasets. Common responsibilities include backtesting strategies, implementing machine learning models, and collaborating with traders and developers. Most Quant Researchers have strong backgrounds in mathematics, statistics, computer science, or physics.

How much money do quant researchers make?

Quant researchers typically earn between $100,000 and $200,000 annually, with experienced professionals and those at top firms earning over $300,000 including bonuses. Compensation often depends on experience, location, and performance, and may include bonuses, profit sharing, or other incentives.

What does a typical day look like for a Quant Researcher, and how do they interact with other teams?

A typical day for a Quant Researcher often involves designing, coding, and testing quantitative models to analyze financial markets or strategies, as well as interpreting large datasets to extract actionable insights. You might spend time collaborating with traders, portfolio managers, or software engineers to refine trading algorithms or improve risk models. Frequent meetings and brainstorming sessions are common, as sharing ideas is key to innovation and solving complex problems. This close teamwork fosters a dynamic, intellectually stimulating environment and helps ensure that quantitative insights are effectively integrated into business decisions.

More about Quant Researcher jobs
What cities are hiring for Quant Researcher jobs? Cities with the most Quant Researcher job openings:
What are the most commonly searched types of Quant Researcher jobs? The most popular types of Quant Researcher jobs are:
What states have the most Quant Researcher jobs? States with the most job openings for Quant Researcher jobs include:
Infographic showing various Quant Researcher job openings in the United States as of July 2026, with employment types broken down into 19% Internship, 1% As Needed, 78% Full Time, 1% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.
Junior Treasury Quant Researcher

Junior Treasury Quant Researcher

Hudson River Trading

New York, NY • On-site, Remote

$150K - $200K/yr

Other

Posted 13 days ago


Job description

Hudson River Trading (HRT) is seeking a Quantitative Researcher focused on Treasury Optimization and Research to join our PostTrade team. In this role, you'll work closely with our Funding, Finance, and Treasury Engineering teams to develop HRT's Treasury optimization and enhance funding & capital efficiency. Researchers at HRT work on small, highly productive teams that design, analyze, and maintain the models and strategies that drive the efficiency and profitability of our business. As a member of our PostTrade team, you will be challenged by dynamic financial markets and contribute to critical optimization models in an extremely fast-paced setting. The ideal candidate is a brilliant quantitative mind who enjoys solving complex problems, values a highly collaborative culture, and thrives in a performance-driven environment. 

Responsibilities 

  • Build and enhance the quantitative components of HRT's Treasury Optimization Platform, including designing and developing optimization models to improve funding efficiency and collateral allocation across global markets
  • Conduct research to expand funding & collateral modeling and analytical capabilities, and identify new opportunities to maximize returns
  • Collaborate with partners across Funding, Finance, and Engineering teams to integrate research and analytics into production systems, streamline cash and collateral workflows, and develop comprehensive metrics for funding, margin, and counterparty management

Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, Operations Research, or a related quantitative field
  • Exceptional problem-solving skills, with a strong foundation in mathematical, statistical, or optimization fundamentals
  • Strong programming skills, with solid experience in Python
  • Proficiency with numerical computing or machine learning libraries (e.g., NumPy, Pandas, PyTorch, TensorFlow) is a significant advantage
  • Familiarity with optimization techniques, such as gradient descent and linear/convex programming, is highly desirable
  • Knowledge of portfolio financing, funding mechanics, prime brokerage, or risk management frameworks is a plus
  • Excellent cross-functional communication skills, with the ability to work effectively with engineers, researchers, and financial professionals

The estimated base salary range for this position is $150,000 - $200,000, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.