Senior Quantitative Researcher Jobs
Senior Quantitative Researcher jobs are open across finance, hedge funds, tech, and biotech, from mid-level analyst to principal and staff, with specializations in algorithmic trading, statistical modeling, and machine learning research. Find a role that fits from the openings below and apply directly.
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IMC Americas, Inc. has multiple openings for Quantitative Researcher (REQ ID: 4528527101) in Chicago, IL and New York, NY.
Your Core Responsibilities
- Collaborate with traders, developers, and researchers to evaluate, validate, and improve quantitative models used in IMC’s proprietary trading strategies through statistical analysis, simulation, and empirical research (10%).
- Design quantitative methods to gather and analyze market data, trading statistics, or new data sources and use the result of that research as the basis for new trading strategies (10%).
- Build research-oriented computational tools, simulations, visualizations, and backtesting frameworks to evaluate quantitative hypotheses and measure model performance before production deployment (10%).
- Formulate trading hypotheses as mathematical, statistical, and machine-learning models; prototype algorithms and coordinate with developers to integrate validated research into trading systems (10%).
- Apply statistical inference, optimization, numerical methods, and financial mathematics to diagnose model behavior, improve forecasting accuracy, and address complex research problems in proprietary trading (15%).
- Identify gaps in existing trading algorithms and propose new algorithmic approaches to improve pricing, execution, risk management, or trading performance (10%).
- Define design requirements for new quantitative trading algorithms, including the intended market behavior, data inputs, model assumptions, implementation constraints, and expected trading impact (10%).
- Drive complex quantitative research projects from initial problem definition through hypothesis testing, model validation, implementation planning, and post-deployment performance review (10%).
- Determine whether quantitative models or trading strategies are ready for production deployment by assessing statistical evidence, trading risk, operational constraints, and expected profitability (5%).
- Prioritize quantitative research initiatives by weighing expected PnL impact, technical feasibility, implementation risk, resource requirements, and strategic value to the trading desk (5%).
- Mentor graduate quantitative researchers and interns by reviewing research plans, challenging assumptions, evaluating analysis quality, and providing technical guidance on algorithm design, trading research, and model validation (5%).
Partial telecommuting permitted. Multiple positions available. Requisition ID: 4528527101.
Your Skills and Experience
This position requires a Bachelors degree, or foreign equivalent, in Computer Science, Financial Mathematics, Financial Engineering, Computational Mathematics, or a closely related quantitative, mathematical, or computational field, and two (2) years of experience in the job offered or a quantitative, technical, and mathematical role or a related position.
Must have two (2) years of experience with each of the following skills:
- Applying statistical inference, optimization, regression analysis, time-series analysis, algorithm design, and other analytical and quantitative techniques to solve complex problems;
- Designing and implementing mathematical models and algorithms, including optimization, signal-generation, and statistical learning methods;
- Analyzing large-scale, high-frequency financial time-series datasets — including market data, order book data, trade data, and derived quantitative signals — to identify patterns, evaluate hypotheses, and measure model performance, with experience handling data quality issues such as gaps and outliers;
- Applying statistical inference, time-series analysis, and model-validation best practices to analyze data and evaluate quantitative research results;
- Applying concepts from financial theory, financial mathematics, and financial engineering, including market microstructure, derivatives pricing, risk modeling, and portfolio management;
- Experience collaborating with traders and developers conducting quantitative research for use in a quantitative trading environment;
- Using Python coding libraries, including Pandas, NumPy, SciPy, scikit-learn, statsmodels, PyTorch, XGBoost, LightGBM, Numba, Polars, Dask, Matplotlib to assist in quantitative analysis;
- Applying quantitative research methodologies for use in quantitative proprietary trading;
- Using numerical optimization techniques;
- Building options portfolios; and
- Developing trading systems that trade on low latency scale at the milisecond granularity.
#LI-DNI
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$175,000 - $275,000 USD
IMC Americas, Inc. has multiple openings for Quantitative Researcher (REQ ID: 4528527101) in Chicago, IL and New York, NY.
Your Core Responsibilities
- Collaborate with traders, developers, and researchers to evaluate, validate, and improve quantitative models used in IMC’s proprietary trading strategies through statistical analysis, simulation, and empirical research (10%).
- Design quantitative methods to gather and analyze market data, trading statistics, or new data sources and use the result of that research as the basis for new trading strategies (10%).
- Build research-oriented computational tools, simulations, visualizations, and backtesting frameworks to evaluate quantitative hypotheses and measure model performance before production deployment (10%).
- Formulate trading hypotheses as mathematical, statistical, and machine-learning models; prototype algorithms and coordinate with developers to integrate validated research into trading systems (10%).
- Apply statistical inference, optimization, numerical methods, and financial mathematics to diagnose model behavior, improve forecasting accuracy, and address complex research problems in proprietary trading (15%).
- Identify gaps in existing trading algorithms and propose new algorithmic approaches to improve pricing, execution, risk management, or trading performance (10%).
- Define design requirements for new quantitative trading algorithms, including the intended market behavior, data inputs, model assumptions, implementation constraints, and expected trading impact (10%).
- Drive complex quantitative research projects from initial problem definition through hypothesis testing, model validation, implementation planning, and post-deployment performance review (10%).
- Determine whether quantitative models or trading strategies are ready for production deployment by assessing statistical evidence, trading risk, operational constraints, and expected profitability (5%).
- Prioritize quantitative research initiatives by weighing expected PnL impact, technical feasibility, implementation risk, resource requirements, and strategic value to the trading desk (5%).
- Mentor graduate quantitative researchers and interns by reviewing research plans, challenging assumptions, evaluating analysis quality, and providing technical guidance on algorithm design, trading research, and model validation (5%).
Partial telecommuting permitted. Multiple positions available. Requisition ID: 4528527101.
Your Skills and Experience
This position requires a Bachelors degree, or foreign equivalent, in Computer Science, Financial Mathematics, Financial Engineering, Computational Mathematics, or a closely related quantitative, mathematical, or computational field, and two (2) years of experience in the job offered or a quantitative, technical, and mathematical role or a related position.
Must have two (2) years of experience with each of the following skills:
- Applying statistical inference, optimization, regression analysis, time-series analysis, algorithm design, and other analytical and quantitative techniques to solve complex problems;
- Designing and implementing mathematical models and algorithms, including optimization, signal-generation, and statistical learning methods;
- Analyzing large-scale, high-frequency financial time-series datasets — including market data, order book data, trade data, and derived quantitative signals — to identify patterns, evaluate hypotheses, and measure model performance, with experience handling data quality issues such as gaps and outliers;
- Applying statistical inference, time-series analysis, and model-validation best practices to analyze data and evaluate quantitative research results;
- Applying concepts from financial theory, financial mathematics, and financial engineering, including market microstructure, derivatives pricing, risk modeling, and portfolio management;
- Experience collaborating with traders and developers conducting quantitative research for use in a quantitative trading environment;
- Using Python coding libraries, including Pandas, NumPy, SciPy, scikit-learn, statsmodels, PyTorch, XGBoost, LightGBM, Numba, Polars, Dask, Matplotlib to assist in quantitative analysis;
- Applying quantitative research methodologies for use in quantitative proprietary trading;
- Using numerical optimization techniques;
- Building options portfolios; and
- Developing trading systems that trade on low latency scale at the milisecond granularity.
#LI-DNI
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$175,000 - $275,000 USD
Senior Quantitative Researcher Jobs by Experience Level
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Find JobsSenior Quantitative Researcher Job Market
Who's Hiring
- JPMorganChase30
- Meta5
- PIMCO5
- Millennium Management4
- Trexquant Investment LP4
Top Industries Hiring
- Investment & Asset Management20
- Fintech6
- Banking & Financial Services6
- Technology & Software2
- Artificial Intelligence1
What Employers Look For
The qualifications that appear most often in senior quantitative researcher jobs.
- PhD in mathematics, statistics, physics, computer science, or a related quantitative field
- Advanced proficiency in Python or R for statistical modeling and data analysis
- Experience building and validating predictive models in a live or near-production environment
- Strong command of probability theory, stochastic calculus, and time-series analysis
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Demonstrated ability to communicate complex quantitative findings to non-technical stakeholders
Tips for Your Senior Quantitative Researcher Job Search
Tailor your resume to the quant stack
Hiring teams scan for specific tools before reading anything else. List Python, R, C++, or Julia by proficiency level, and name the libraries you use daily, such as NumPy, pandas, or PyTorch, rather than grouping them under a generic 'programming skills' header.
Quantify research impact, not just methods
Describe what your models produced, not just how they worked. A line like 'improved signal-to-noise ratio on a factor model used in live trading' tells a hiring manager far more than 'built predictive models using regression techniques.'
Target openings by research domain, not just title
Senior quant roles split sharply between alpha research, risk modeling, and execution strategy. Filter openings by the domain that matches your publication record or live trading experience, since interviews and expectations differ significantly across each area.
Apply early to roles that fit
Migrate Mate lists senior quantitative researcher openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a take-home case before interviews start
Most senior quant interviews include a timed modeling exercise or coding challenge. Rehearse deriving a Sharpe ratio from scratch, writing a backtesting loop under time pressure, or explaining a factor's statistical significance without notes before your first screen.
Negotiate scope and data access, not just compensation
At the senior level, the quality of your research environment matters as much as pay. In offer conversations, ask specifically about proprietary data sets, compute resources, and publication rights, since these directly shape what you can build and publish.
Senior Quantitative Researcher Jobs: Frequently Asked Questions
Which companies are hiring the most senior quantitative researchers?
The companies hiring the most senior quantitative researchers right now include JPMorganChase, Meta, and PIMCO, with the largest share of openings in New York, California, and Illinois, based on current listings on Migrate Mate as of November 2026. Demand is concentrated at asset managers, systematic hedge funds, and large technology firms with quantitative product teams.
How many senior quantitative researcher jobs are remote?
About 58% of senior quantitative researcher openings are fully remote or hybrid as of November 2026, though on-site requirements vary significantly by employer type. Roles focused on statistical research and machine learning tend to offer more location flexibility than those tied to live trading infrastructure or low-latency execution systems, which typically require in-office presence.
How do you become a senior quantitative researcher?
Most senior quantitative researchers start with a doctoral degree in a rigorous quantitative discipline, publish or contribute to original research during their studies, then enter the field through a junior quant or research associate role. Advancing to the senior level typically requires owning a research agenda end to end, demonstrating that your models perform in production, and building a record of presenting findings to investment or product decision-makers.
Can you get hired as a senior quantitative researcher with limited experience?
Breaking in at the senior level without deep industry experience is difficult but not impossible if your academic or open-source work is directly relevant. Candidates who have published in peer-reviewed journals, contributed to widely used quantitative libraries, or completed a postdoctoral fellowship at a research-heavy institution have successfully moved into senior roles without prior industry titles, particularly at firms that value research depth over years of service.
What does the senior quantitative researcher interview process look like?
The process typically opens with a technical phone screen covering probability puzzles, statistics fundamentals, and coding in Python or C++. A take-home modeling exercise or timed coding challenge usually follows. Final rounds include a research presentation where you walk through past work in detail, whiteboard sessions on stochastic processes or optimization problems, and conversations with portfolio managers or senior researchers about how your work would fit into their existing strategy.
Where can I find and apply to senior quantitative researcher jobs?
You can find and apply to senior quantitative researcher jobs on Migrate Mate, which lists current openings from across the United States. Search the listings for roles that match your research background and specialization, then apply directly to each opening that fits. Every listing links to the application so you can move quickly when you find the right role.
See All 140+ Senior Quantitative Researcher Jobs
Find roles that match your experience and apply in just a few clicks.
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