Quantitative Trading Analyst Jobs
Quantitative Trading Analyst jobs are open across hedge funds, proprietary trading firms, and investment banks, from junior analyst to senior quantitative researcher, with specializations in algorithmic strategy development, risk modeling, and derivatives pricing. Find a role that fits below and apply directly.
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The successful candidate will work with subject matter experts in addition to senior traders and developers. They will develop a deep understanding of algorithmic trading strategies, market microstructure, trading infrastructure, trading system and evaluation metrics. Candidates should be ambitious and motivated. They need to be capable of both designing and implementing processes that can be automated and scaled, handling production problems that arise in real-time, and over time contributing views on how these complex systems should be best organized and managed.
GTS is a collection of financial services companies spanning a wide array of asset classes and investment approaches, all powered by the combination of market expertise with innovative, proprietary technology. With roots as a quantitative trading firm continually building for the future, the GTS family of companies are able to leverage the latest in artificial intelligence systems and sophisticated pricing models to bring consistency, efficiency, and transparency to today’s financial markets. GTS’s electronic market maker GTS Securities accounts for 3-5% of daily cash equities volume in the U.S. and is a leading Designated Market Maker (DMM) at the New York Stock Exchange, responsible for nearly $13 trillion of market capitalization. For more information on GTS, please visit www.gtsx.com.
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The algorithms produce security specific quantitative params to define how they trade:
- Predict intraday quant params from historical data.
- Predict intraday volume patterns and velocity.
- Identify sparse data symbols and create models to handle.
- Design communication model between predictions and trading system.
- Analyze algorithmic outcomes to propose improvements to scheduling and order placement.
- Research alpha models used for pricing, venue selection, and internalization decisions.
- Research and propose new internalization models to improve algorithmic PnL.
- 1-2 years experience with algorithmic trading systems and models is preferred.
- B.S./M.S. from a leading university in a STEM discipline.
- Deep understanding and ability in mathematics and statistics.
- Excellent programming skills in Python.
- Strong proficiency in data analytics and quantitative techniques.
- Attention to detail, exceptional organization, and proclivity for automation.
- Excellent communication skills: ability to express complex concepts in simple terms.
- Ability to work independently and as part of a team in a fast-paced environment.
Please note: The use of AI tools during interviews is strictly prohibited, unless explicitly agreed upon.
Benefits:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status, and will not be discriminated against on the basis of disability.
Unsolicited resumes:
The successful candidate will work with subject matter experts in addition to senior traders and developers. They will develop a deep understanding of algorithmic trading strategies, market microstructure, trading infrastructure, trading system and evaluation metrics. Candidates should be ambitious and motivated. They need to be capable of both designing and implementing processes that can be automated and scaled, handling production problems that arise in real-time, and over time contributing views on how these complex systems should be best organized and managed.
GTS is a collection of financial services companies spanning a wide array of asset classes and investment approaches, all powered by the combination of market expertise with innovative, proprietary technology. With roots as a quantitative trading firm continually building for the future, the GTS family of companies are able to leverage the latest in artificial intelligence systems and sophisticated pricing models to bring consistency, efficiency, and transparency to today’s financial markets. GTS’s electronic market maker GTS Securities accounts for 3-5% of daily cash equities volume in the U.S. and is a leading Designated Market Maker (DMM) at the New York Stock Exchange, responsible for nearly $13 trillion of market capitalization. For more information on GTS, please visit www.gtsx.com.
-
The algorithms produce security specific quantitative params to define how they trade:
- Predict intraday quant params from historical data.
- Predict intraday volume patterns and velocity.
- Identify sparse data symbols and create models to handle.
- Design communication model between predictions and trading system.
- Analyze algorithmic outcomes to propose improvements to scheduling and order placement.
- Research alpha models used for pricing, venue selection, and internalization decisions.
- Research and propose new internalization models to improve algorithmic PnL.
- 1-2 years experience with algorithmic trading systems and models is preferred.
- B.S./M.S. from a leading university in a STEM discipline.
- Deep understanding and ability in mathematics and statistics.
- Excellent programming skills in Python.
- Strong proficiency in data analytics and quantitative techniques.
- Attention to detail, exceptional organization, and proclivity for automation.
- Excellent communication skills: ability to express complex concepts in simple terms.
- Ability to work independently and as part of a team in a fast-paced environment.
Please note: The use of AI tools during interviews is strictly prohibited, unless explicitly agreed upon.
Benefits:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status, and will not be discriminated against on the basis of disability.
Unsolicited resumes:
Quantitative Trading Analyst Jobs by Experience Level
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Find JobsQuantitative Trading Analyst Job Market
Who's Hiring
- JPMorganChase22
- Goldman Sachs2
- Belvedere Trading2
- QUANTEAM - North America (RAINBOW PARTNERS Group)2
- Citi1
Top Industries Hiring
- Investment & Asset Management
- Banking & Financial Services
- Fintech
- Technology & Software
- Construction & Real Estate
What Employers Look For
The qualifications that appear most often in quantitative trading analyst jobs.
- Advanced degree in mathematics, statistics, computer science, or financial engineering
- Proficiency in Python, C++, or R for quantitative research and strategy development
- Experience building and backtesting algorithmic or systematic trading strategies
- Strong knowledge of probability, stochastic calculus, and statistical inference
- Familiarity with market microstructure, order book dynamics, and execution systems
- Experience working with tick-level market data and time-series analysis techniques
Tips for Your Quantitative Trading Analyst Job Search
Tailor your resume to signal strategies
Hiring desks care more about what you built than where you studied. Lead each bullet with the strategy type, the asset class, and the measurable outcome, such as a Sharpe ratio improvement or latency reduction, not just the tools you used.
Show your code, not just credentials
Most quantitative trading analyst roles expect a code sample or take-home before the first interview. Push a clean, documented Python or C++ project to a public repository that demonstrates a backtesting framework or execution model before you apply.
Apply early to roles that fit
Migrate Mate lists quantitative trading analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by asset class first
Equities, fixed income, commodities, and crypto desks hire for different skill sets. Filtering openings by asset class before you apply lets you pitch your backtesting experience and market microstructure knowledge to the team that will actually value it.
Prepare a walk-through of a live position
Quantitative trading interviews often include a discussion of a real trade you would put on today and your reasoning behind it. Prepare a concise, data-backed thesis in an asset class relevant to the firm before your first-round call.
Negotiate comp structure, not just base
At most trading firms, the bonus pool and profit-sharing split matter more than your starting salary. When you reach the offer stage, ask how performance allocations are calculated and whether there is a lock-up period on any deferred component.
Quantitative Trading Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most quantitative trading analysts?
The companies hiring the most quantitative trading analysts right now include JPMorganChase, Goldman Sachs, and Belvedere Trading, with the largest share of openings in New York, Illinois, and California, based on current listings on Migrate Mate as of November 2026. Hedge funds and proprietary trading firms account for a significant portion of active postings.
How many quantitative trading analyst jobs are remote?
About 29% of quantitative trading analyst openings are fully remote or hybrid as of November 2026, though on-site roles remain dominant at high-frequency and prop trading desks where low-latency infrastructure access is required. Research-focused quant roles and risk modeling positions tend to offer the most remote flexibility.
How do you become a quantitative trading analyst?
Start by building a strong foundation in mathematics, statistics, and programming through a degree in a quantitative field. Next, develop hands-on experience with real market data by building and backtesting systematic strategies. Publish your work publicly, compete in trading competitions or academic research programs, and apply to junior analyst or research roles at trading firms where you can grow into live strategy development.
Can you get a quantitative trading analyst job with little experience?
Yes, but you need to demonstrate practical ability in place of work history. Firms hiring junior quantitative analysts look for original backtesting projects, strong academic performance in quantitative coursework, and evidence that you can write clean, production-quality code. Internships at trading desks or quantitative research groups carry significant weight, and even a well-documented personal strategy project can open first-round conversations.
What does the quantitative trading analyst interview process look like?
Most firms run a multi-stage process that begins with a recruiter screen focused on your background and strategy experience. A technical phone interview follows, covering probability puzzles, statistics, and coding problems in Python or C++. Finalists typically complete a take-home modeling exercise or strategy design challenge before an on-site or final-round panel that includes a trading desk walk-through and a discussion of your past research.
Where can I find and apply to quantitative trading analyst jobs?
You can find and apply to quantitative trading analyst jobs on Migrate Mate, which lists current openings from across the United States in one place. Find roles that match your background and apply directly to each listing without being redirected to a third-party site.
See All 42 Quantitative Trading Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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