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Quant Research Jobs (NOW HIRING)

Permanent Quant Research Analyst (Houston) Anson McCade are working with a Portfolio Manager based in Austin, Texas, who is running a mid-frequency equity team covering Stat Arb trading. They are ...

Our Sr. Quants develop pricing, yield optimization, and recommendation systems for Home Depot's retail media network - Orange Apron Media (OAM). In this position, you will analyze marketing data to ...

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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 Jun 13, 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 are the key skills and qualifications needed to thrive as a Quant Researcher, and why are they important?

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 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.

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 does a quant researcher do?

A quant researcher develops and tests mathematical models to analyze financial data and inform trading strategies. They use programming languages like Python or R, and rely on statistical and quantitative analysis skills to identify market opportunities and manage risk.

What are quantitative research jobs?

Quantitative research jobs involve analyzing numerical data to inform decision-making, often in finance, marketing, or technology sectors. These roles typically require skills in statistics, programming, and data analysis tools like Python or R, and may involve developing models or algorithms to interpret large datasets.

Is 30 too late to become a quant?

Becoming a quantitative researcher at age 30 is possible, as many in the field come from diverse backgrounds and pursue advanced degrees in mathematics, finance, or computer science. Success often depends on acquiring relevant skills such as programming, statistical analysis, and financial modeling, which can be developed at any age. Prior experience and continuous learning are key factors in transitioning into a quant role later in life.

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.

Do I need a PhD to be a quant?

A PhD is not strictly required to become a quantitative researcher, but many quants hold advanced degrees in fields like mathematics, physics, or engineering. Employers often value strong quantitative skills, programming ability, and experience with tools such as Python, R, or MATLAB over formal education level.
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,127 per year, or $48.1 per hour.

$120K - $150K/yr

Full-time

Posted 8 days ago


Job description

$120,000-150,000 USD
Discretionary end of year bonus
Onsite WORKING
Location: Austin, Austin, Texas - United States Type: Permanent
Quant Research Analyst (Houston)
Anson McCade are working with a Portfolio Manager based in Austin, Texas, who is running a mid-frequency equity team covering Stat Arb trading. They are looking for a Quant with experience in strategy research and portfolio construction to join the team, with a pathway to a more senior alpha research role or a PM seat.
The Role:
  • Portfolio construction and optimisation for mid-frequency equity trading
  • Researching new strategies and exploring opportunities to scale up and improve these models
  • Collaborate with other team members across a range of quantitative disciplines
Requirements:
  • 2+ years of experience in a Quantitative Analyst or Research position
  • Strong experience in Python or R
  • Machine Learning experience is preferred
  • An advanced degree, preferably a Master's degree or higher