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Quant Research Jobs (NOW HIRING)

TIFIN

Quant AI Investments, TIFIN.ai

Boulder, CO · On-site

$150K - $225K/yr

You will translate cutting-edge quantitative research and AI capabilities into scalable, revenue-generating investment products. THE ROLE: * Lead the full lifecycle of quantitative model development ...

Seven Research

Quantitative Researcher

New York, NY · On-site

$200K - $300K/yr

At Seven Research, our close-knit team unites brilliant minds passionate about pushing ... Your Role Our Quantitative Researchers are the intellectual architects of our trading strategies ...

Seven Research

Quantitative Researcher

New York, NY · On-site

$200K - $300K/yr

At Seven Research, our close-knit team unites brilliant minds passionate about pushing ... Your Role Our Quantitative Researchers are the intellectual architects of our trading strategies ...

Injective Labs

Quant Researcher

New York, NY · On-site +1

As a part of our Quant team, you'll be studying the crypto market to find profitable trading ... Build and operate data pipelines and research platforms for high-quality, reproducible research.

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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.
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Quant Research jobs near you
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.

Algorithm Developer (Quant Research & Trading) - 2027 Grads

Hudson River Trading

London, CA

$300K/yr

Full-time

Re-posted 20 days ago

Job description

Hudson River Trading (HRT) is seeking exceptional quantitative thinkers to join our Algorithm Development teams in New York, London, and Singapore. Algorithm Developers at HRT are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models.

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability.

Ideal candidates are strong researchers eager to learn new skills, who can work both independently and collaboratively to solve problems efficiently.

Qualifications

  • You are a full-time undergraduate or masters student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2027
  • Experience programming in Python and/or C++
  • Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
  • A passion for applying quantitative models and technology toward solving real-world problems
  • Brilliant analytical and problem-solving skills
  • Ability to work creatively and independently on long-term technical problems

Base salary for US is $300,000. Other locations have similarly locally competitive base salaries. A sign-on and discretionary performance bonus will be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.

Apply