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Quant Research Jobs (NOW HIRING)

Graduate Quant Researcher 2027 - Chicago

Chicago, IL · On-site

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

YipitData is the leading market research and analytics firm for the disruptive economy and recently ... Our Data Feeds & Quant business is one of the fastest-growing segments of YipitData. To accelerate ...

YipitData is the leading market research and analytics firm for the disruptive economy and recently ... Our Data Feeds & Quant business is one of the fastest-growing segments of YipitData. To accelerate ...

Product Manager, Quant Platform

OR · On-site +1

  • Retirement

  • PTO

YipitData is the leading market research and analytics firm for the disruptive economy and recently ... Our Data Feeds & Quant business is one of the fastest-growing segments of YipitData. To accelerate ...

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 ...

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 ...

Product Manager, Quant Platform

OR · On-site +1

  • Retirement

  • PTO

YipitData is the leading market research and analytics firm for the disruptive economy and recently ... Our Data Feeds & Quant business is one of the fastest-growing segments of YipitData. To accelerate ...

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quant research information

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How much do quant research jobs pay per year?

As of Aug 19, 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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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, 85% Full Time, 11% Part Time, 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.

Quant Researcher - Full-time

Anthelion Capital Holdings

New York, NY • On-site

$120K - $240K/yr

Full-time

Posted 26 days ago


Job description

About Anthelion
Anthelion Capital is an investment and data science platform. We augment our fundamental investment core with data science to make investments across the capital structure. We are building a proprietary platform that runs the full investment lifecycle, from underwriting to portfolio management.
What you'll do.
Build predictive signals that drive real trading decisions. You'll generate original signals, validate them rigorously, and work with portfolio managers to get them allocated against real capital - with the platform taking you from notebook to monitored pipeline. This is a research-first seat.
What you'll own:
• Your assigned datasets and signals - from idea, to validated factor, to a live signal on the platform.
• The research quality, robustness, and out-of-sample validity of your signals - you're accountable for whether they hold up, not just whether they backtest well.
• Sourcing and curating the datasets your signals need - including novel or alternative data - and shaping them into validated factors. The data pipeline is a shared build - you'll extend and harden it alongside the platform team, not just consume it.
• Turning your own research into production - taking a signal from notebook to a running, monitored pipeline via the research-to-production path.
• A voice in shaping the research platform - the factor library, templates, and research-to-prod conventions - as one of its primary users.
We're looking for:
• PhD or master's (or an exceptional undergrad) in a quantitative field - statistics, math, physics, CS, or similar.
• New grad through experienced hires.
• Depth in statistics and/or machine learning, and a demonstrated research track record.
• Rigor about overfitting, multiple-hypothesis pitfalls, look-ahead bias, and point-in-time discipline - the instinct to distrust a clean result.
• Comfortable in Python and working with large, messy datasets.
• Solid data-engineering comfort - you'll source, curate, and help build the shared data pipelines your research runs on, not just query what someone else prepared.
• Nice to have: time-series / financial modeling, prior systematic-investing or quant-research experience, publications or competition results.
Additional Details:
Compensation: Base salary of $120,000 to $240,000 depending on experience. Eligible for performance based discretionary bonus.
Location : Onsite in Midtown, New York City at least 3 days per week.
Other : Must be authorized to work in the United States without employer visa sponsorship.