Quantitative Research Analyst Jobs in New York
Quantitative Research Analyst jobs in New York represent one of the most active and competitive markets in the country, concentrated in finance, asset management, hedge funds, and investment banking across Manhattan's Midtown and Lower Manhattan corridors, with additional demand in Long Island City and Jersey City. Major employers with a lasting presence include JPMorgan Chase, Goldman Sachs, and BlackRock, each maintaining large quantitative research teams. The most in-demand specialties are equity research modeling, fixed income analytics, and machine learning-driven systematic strategies. Find a role that fits 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
See All 63 Quantitative Research Analyst Jobs in New York
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Find JobsQuantitative Research Analyst Jobs by City in New York
Where New York roles are concentrated, by current openings.
Quantitative Research Analyst Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- JPMorganChase28
- Millennium Management4
- Tudor2T
- PDT Partners2
- Goldman Sachs2
Top Industries Hiring
- Investment & Asset Management11
- Fintech6
- Banking & Financial Services6
- Technology & Software1
What New York Employers Look For
The qualifications that appear most often in quantitative research analyst jobs across New York.
- Advanced degree in mathematics, statistics, financial engineering, or a related quantitative field
- Demonstrated proficiency in Python, R, or MATLAB for financial modeling and data analysis
- Experience building and backtesting quantitative trading or investment research models
- Strong knowledge of probability theory, stochastic calculus, and time-series analysis
- Familiarity with Bloomberg, Refinitiv, or proprietary financial data platforms used in New York firms
- Ability to communicate complex quantitative findings clearly to portfolio managers and stakeholders
Quantitative Research Analyst Jobs in New York: Frequently Asked Questions
How do you become a quantitative research analyst in New York?
Most quantitative research analyst roles in New York require at least a master's degree, and many leading firms on Wall Street expect a PhD in mathematics, statistics, physics, or financial engineering. New York does not require a state-issued license specific to this role, but candidates pursuing roles that involve securities recommendations may need FINRA registration through their employer. Top New York programs at NYU Courant, Columbia, and Cornell Tech feed directly into the city's finance and hedge fund ecosystem.
How much do quantitative research analysts make in New York?
Quantitative research analysts in New York earn a median of about $107,490 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $55,370 for the lowest 10% to over $230,770 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire quantitative research analysts in New York?
Employers hiring quantitative research analysts in New York right now include JPMorganChase, Millennium Management, and Tudor, based on current listings on Migrate Mate as of November 2026. New York's concentration of global investment banks, hedge funds, and asset managers makes it one of the deepest hiring markets for quantitative research talent anywhere in the world.
Which New York cities have the most quantitative research analyst jobs?
New York, New York, and Great Neck account for the largest share of quantitative research analyst openings in New York. Manhattan dominates because of its dense concentration of investment banks, hedge funds, and asset managers headquartered in Midtown and Lower Manhattan, while any suburban or outer-borough listings are typically tied to technology or risk teams at large financial institutions with satellite offices.
Are there remote quantitative research analyst jobs in New York?
Yes, and more than many finance roles, since quantitative research is primarily desk and model-based work. About 42% of quantitative research analyst openings tied to New York are remote or hybrid as of November 2026, reflecting the analytical and independent nature of the work. Roles focused on model development and data analysis are most likely to offer flexible arrangements, while positions requiring close collaboration with trading desks tend to be on-site.
How can I get hired as a quantitative research analyst in New York with little or no experience?
The most realistic entry path is through a quantitative internship or a rotational analyst program at a large New York firm, with JPMorgan, Goldman Sachs, and major asset managers running structured new-graduate programs each year. Candidates without full experience can also transition from adjacent roles such as data analyst, financial analyst, or risk analyst positions. A strong portfolio of independent research, competition results from platforms like Kaggle, or a master's thesis with applied financial modeling gives New York hiring managers a concrete reason to consider early-career candidates.
Where can I find and apply to quantitative research analyst jobs in New York?
You can find and apply to quantitative research analyst jobs in New York on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that fit your background and target employer, and apply directly. No extra steps are needed beyond reviewing the listings and submitting your application.
See All 63 Quantitative Research Analyst Jobs in New York
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