Quantitative Research Analyst Jobs
Quantitative Research Analyst jobs are open across finance, asset management, hedge funds, and technology, from entry-level analyst to senior and principal roles, with specializations in statistical modeling, algorithmic strategy, and risk analytics. Find a role that fits from the openings below and apply directly.
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Showing 5 of 108+ Quantitative Research Analyst jobs
Remote 20K - 450K Bonus + Stock options Permanent
Our client is a highly profitable, fast-growing quantitative trading firm operating at the exact intersection of frontier AI and elite market-making. Founded by veteran researchers and engineers from OpenAI, Anthropic, and Google DeepMind, alongside top-tier quantitative minds from Jump Trading, Citadel, and Jane Street, they are building from a completely clean-slate architecture. This is a rare opportunity to join a small, stealth team constructing a "living platform"—trading infrastructure specifically designed to treat constant technological evolution and cutting-edge machine learning as a structural edge rather than a liability.
Software Engineers are tasked with building ultra-high-volume, low-latency trading infrastructure and highly resilient, production-grade data pipelines from the ground up.
Quantitative Developers serve as the vital bridge between research and engineering, translating advanced mathematical models and experimental strategies into fiercely optimized, high-performance production code.
AI & Machine Learning Engineers bring direct experience from frontier AI labs to embed the absolute latest breakthroughs in machine learning directly into the firm's core trading architecture.
Quantitative Researchers drive the mathematical research, rigorous statistical modeling, and deep learning frameworks that power live, scalable trading strategies in active markets.
Whether your edge lies in raw systems engineering, frontier AI research, advanced mathematics, or pushing hardware performance to the absolute limits of what is possible, this team is solving incredibly hard problems from scratch alongside people who have already done it at the highest global level.
Compensation is highly aggressive, offering a $450k base plus significant equity.
If you are interested in exploring this, reply directly and Goliath Partners will be in touch.
Remote 20K - 450K Bonus + Stock options Permanent
Our client is a highly profitable, fast-growing quantitative trading firm operating at the exact intersection of frontier AI and elite market-making. Founded by veteran researchers and engineers from OpenAI, Anthropic, and Google DeepMind, alongside top-tier quantitative minds from Jump Trading, Citadel, and Jane Street, they are building from a completely clean-slate architecture. This is a rare opportunity to join a small, stealth team constructing a "living platform"—trading infrastructure specifically designed to treat constant technological evolution and cutting-edge machine learning as a structural edge rather than a liability.
Software Engineers are tasked with building ultra-high-volume, low-latency trading infrastructure and highly resilient, production-grade data pipelines from the ground up.
Quantitative Developers serve as the vital bridge between research and engineering, translating advanced mathematical models and experimental strategies into fiercely optimized, high-performance production code.
AI & Machine Learning Engineers bring direct experience from frontier AI labs to embed the absolute latest breakthroughs in machine learning directly into the firm's core trading architecture.
Quantitative Researchers drive the mathematical research, rigorous statistical modeling, and deep learning frameworks that power live, scalable trading strategies in active markets.
Whether your edge lies in raw systems engineering, frontier AI research, advanced mathematics, or pushing hardware performance to the absolute limits of what is possible, this team is solving incredibly hard problems from scratch alongside people who have already done it at the highest global level.
Compensation is highly aggressive, offering a $450k base plus significant equity.
If you are interested in exploring this, reply directly and Goliath Partners will be in touch.
Quantitative Research Analyst Jobs by Experience Level
Top Cities Hiring Quantitative Research Analysts
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Find JobsQuantitative Research Analyst Job Market
Who's Hiring
- JPMorganChase23
- PIMCO6
- Google5
- Meta4
- Millennium Management4
Top Industries Hiring
- Investment & Asset Management24
- Banking & Financial Services8
- Fintech6
- Technology & Software2
- Construction & Real Estate1
What Employers Look For
The qualifications that appear most often in quantitative research analyst jobs.
- Advanced degree in mathematics, statistics, finance, computer science, or a related quantitative field
- Proficiency in Python or R for data analysis, modeling, and research automation
- Experience building and backtesting statistical or machine learning models on financial data
- Strong command of SQL for querying large structured datasets
- Familiarity with Bloomberg, Refinitiv, or similar financial data platforms
- Ability to communicate complex quantitative findings clearly to non-technical stakeholders
Tips for Your Quantitative Research Analyst Job Search
Quantify your models on your resume
List the specific models you built, the datasets you worked with, and the measurable outcomes. Hiring managers for quantitative research analyst roles expect to see accuracy improvements, alpha generation, or risk reduction figures, not vague descriptions of analytical work.
Include your programming languages prominently
Python, R, MATLAB, and SQL often appear in the first screening pass for quantitative research analyst roles. Put them in your skills section and name them again in context within your experience bullets so both automated filters and reviewers catch them.
Target firms by their research strategy
Systematic and discretionary hedge funds, sell-side research desks, and tech quant teams each test for different things. Read a firm's published research or job description carefully to match your resume's emphasis to their strategy before you apply.
Apply early to roles that fit
Migrate Mate lists quantitative research analyst 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 or case study sample
Many quantitative research analyst interviews include a timed modeling exercise or a take-home dataset problem. Practice building a clean, annotated analysis in Python or R that a non-technical reviewer can follow, because presentation quality is evaluated alongside methodology.
Negotiate using comp structure, not just base
Quantitative research analyst offers frequently include a discretionary bonus tied to fund performance or research output. Ask explicitly how the bonus is determined and request a range from recent cycles before you evaluate or accept any offer.
Quantitative Research Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most quantitative research analysts?
The companies hiring the most quantitative research analysts right now include JPMorganChase, PIMCO, and Google, with the largest share of openings in New York, California, and Illinois, based on current listings on Migrate Mate as of September 2026. Demand is concentrated at hedge funds, asset managers, and large technology companies with proprietary trading or data science divisions.
How many quantitative research analyst jobs are remote?
About 47% of quantitative research analyst openings are fully remote or hybrid as of September 2026, with remote options more common in technology-focused quant roles than in hedge fund or sell-side research positions. Roles centered on independent statistical modeling or data pipeline development tend to offer the most flexibility, while strategy-facing or trading-adjacent roles typically require on-site presence.
How do you become a quantitative research analyst?
Most quantitative research analysts build a foundation in a quantitative discipline such as mathematics, statistics, physics, or computer science, then develop applied skills in financial modeling, time-series analysis, and programming. Internships at asset managers or research desks provide practical exposure. A graduate degree strengthens candidacy for senior roles, and a portfolio of personal or academic modeling projects demonstrates hands-on ability to employers who screen heavily on technical output.
Can you get a quantitative research analyst job with little experience?
Entry-level quantitative research analyst roles exist, and employers filling them focus heavily on academic performance, technical skills, and demonstrated project work rather than years on the job. A strong thesis, published research, or a GitHub portfolio with backtested models can substitute for professional experience. Rotational analyst programs at banks and asset managers are a common entry point for new graduates from quantitative programs.
What does the quantitative research analyst interview process look like?
The process typically starts with a recruiter screen focused on background and technical stack, followed by a technical phone interview covering probability, statistics, and coding in Python or R. Later rounds often include a take-home modeling exercise or case study, then a final round of interviews with senior researchers or portfolio managers that combines technical depth with research discussion. Some firms add a brain-teaser or mental math component early in the process.
Where can I find and apply to quantitative research analyst jobs?
You can find and apply to quantitative research analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and apply directly to each one that fits.
See All 108+ Quantitative Research Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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