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Full Time Quantitative Researcher Jobs (NOW HIRING)

IMC Trading is seeking a Senior Quantitative Researcher to join the options quant team. You will ... Base salary is only one component of total compensation; all full-time, permanent positions are ...

... of research or industry experience in quantitative finance, systematic trading, or applied ML ... Base salary represents just one part of overall compensation; all full-time, permanent roles are ...

Quantitative Researcher (ETFs)

Chicago, IL · On-site

$170K - $300K/yr

This Quantitative Researcher will be working directly with our international and domestic ETF ... full-time employees. For more information, reach out to your recruiter. Old Mission is not ...

You'll work side by side with our experienced Quantitative Researchers to learn how we identify ... You'll spend the bulk of your internship working closely with full-time researchers on projects ...

Quantitative Researcher

New York, NY · On-site

$170K - $300K/yr

As a Quantitative Researcher in our NYC office, you'll work directly with our traders and research ... full-time employees. For more information, reach out to your recruiter. Old Mission is not ...

IMC is looking for experienced quantitative researchers to develop systematic futures trading ... Base salary is only one component of total compensation; all full-time, permanent positions are ...

We are seeking a highly analytical and detail-oriented Quantitative Researcher to join our dynamic ... Base salary is only one component of total compensation; all full-time, permanent positions are ...

As a Quantitative Researcher at IMC, your work will directly impact our global trading strategies ... Must be available for full-time employment starting in February or August 2027 You may submit one ...

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Full Time Quantitative Researcher information

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$52.5K

$119.2K

$196.5K

How much do full time quantitative researcher jobs pay per year?

As of Jul 9, 2026, the average yearly pay for full time quantitative 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 is the difference between Full Time Quantitative Researcher vs Quantitative Analyst?

AspectFull Time Quantitative ResearcherQuantitative Analyst
CredentialsTypically requires a master's or PhD in a quantitative field (e.g., math, finance, statistics)Similar educational background, often with advanced degrees
Work EnvironmentResearch-focused, often in finance, hedge funds, or asset management firmsFinancial institutions, investment banks, hedge funds
Primary ResponsibilitiesDeveloping models, conducting research, testing strategiesAnalyzing data, building models, supporting trading decisions

Both roles involve quantitative skills and similar educational backgrounds, but Full Time Quantitative Researchers focus more on developing new strategies and conducting in-depth research, while Quantitative Analysts often focus on data analysis and supporting trading activities within financial firms.

What cities are hiring for Full Time Quantitative Researcher jobs? Cities with the most Full Time Quantitative Researcher job openings:
What are the most commonly searched types of Quantitative Researcher jobs? The most popular types of Quantitative Researcher jobs are:

New Grad Full-Time Quantitative Researcher

WallStreetQuants

New York, NY

Full-time

Posted 10 days ago


Job description

About the Role

An NYC based hedge fund is seeking a highly motivated and intellectually curious New Grad Quantitative Researcher to join the team full time. This role is ideal for recent graduates who enjoy solving complex problems using mathematics, statistics, programming, and data-driven analysis.

As a Quantitative Researcher, you will work at the intersection of financial markets, statistical modeling, and technology. You will collaborate with traders, developers, and other researchers to identify patterns in market data, develop predictive models, test trading hypotheses, and support the creation of quantitative strategies.

This is an excellent opportunity for a new graduate who is analytical, creative, and excited to apply rigorous research methods to real-world financial markets.

Requirements

Responsibilities
  • Conduct quantitative research to identify signals, patterns, and inefficiencies in financial markets.
  • Analyze large and complex datasets, including market data, alternative data, and time-series data.
  • Develop, test, and refine statistical models, predictive signals, and trading strategies.
  • Design and run backtests, simulations, and experiments to evaluate research ideas.
  • Collaborate with traders and developers to translate research findings into production-ready tools and strategies.
  • Monitor model performance and contribute to ongoing strategy improvement.
  • Apply techniques from statistics, machine learning, optimization, probability, and econometrics to solve trading-related problems.
  • Present research findings clearly to technical and non-technical stakeholders.
  • Stay current on market behavior, quantitative methods, and emerging research relevant to trading and investing.
Qualifications
  • Recent graduate or upcoming graduate from a Bachelor's, Master's, PhD, or equivalent program.
  • Degree or strong demonstrated experience in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, Data Science, Operations Research, or a related discipline.
  • Strong foundation in probability, statistics, linear algebra, optimization, or machine learning.
  • Programming experience in Python, R, C++, Java, Julia, MATLAB, or a similar language.
  • Experience working with data through coursework, research, internships, projects, or independent study.
  • Strong analytical thinking, problem-solving ability, and attention to detail.
  • Ability to communicate complex ideas clearly and work collaboratively across teams.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
Preferred Qualifications
  • Research, internship, or project experience involving statistical modeling, machine learning, time-series analysis, forecasting, optimization, or quantitative finance.
  • Experience with Python data science libraries such as pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, or statsmodels.
  • Familiarity with SQL, large-scale data processing, cloud tools, or distributed computing.
  • Exposure to financial instruments such as equities, futures, options, fixed income, FX, commodities, or digital assets.
  • Experience with backtesting, simulation, portfolio construction, or risk modeling.
  • Participation in math competitions, programming competitions, research publications, Kaggle, hackathons, trading competitions, poker, chess, or other analytical competitions.

Benefits

What We Offer
  • Full-time role designed for new graduates.
  • Structured training and mentorship from experienced quantitative researchers, traders, and engineers.
  • Opportunity to work on impactful research used in real-time trading and investment decisions.
  • Exposure to financial markets, strategy development, data science, and trading infrastructure.
  • A collaborative, intellectually rigorous environment where research quality and strong ideas are valued.
  • Early ownership of meaningful research projects.
  • Competitive compensation and benefits.