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Quantitative Finance Research Assistant Jobs (NOW HIRING)

MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline * 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed ...

MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline * 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed ...

About Turing: Based in San Francisco, California, Turing is the world's leading research ... Role Overview: Turing is looking for Quantitative Finance professionals to work with our ...

We are looking for experts across a range of topics including capital markets, portfolio management, research, trading, quant, investment banking, private equity, corporate finance, accounting, and ...

Job Overview Quantitative Finance Analyst leading data‑centric AI initiatives within Global Risk ... Ability to research new data technologies, architect novel data solutions for business problems and ...

This role focuses on building and implementing financial models, analytics, and pricing systems ... Experience working with quantitative research or trading desks. * Familiarity with model validation ...

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Quantitative Finance Research Assistant information

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How much do quantitative finance research assistant jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for quantitative finance research assistant in the United States is $23.35, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $26.20 per hour, depending on experience, location, and employer.

What is a quantitative finance research assistant?

Quantitative Finance Research Assistants are professionals who support research teams by analyzing financial data using mathematical models and statistical techniques. They assist in developing and testing algorithms for trading, risk management, or asset valuation. Their work often involves programming, data analysis, and literature review to inform investment strategies or academic research. This role is common in investment banks, hedge funds, and academic institutions.

What are some typical challenges a quantitative finance research assistant might face when supporting research projects?

Quantitative Finance Research Assistants often encounter challenges such as managing large and complex datasets, ensuring data accuracy, and keeping up with rapidly evolving financial models and technologies. Balancing multiple projects with tight deadlines requires strong organizational skills and attention to detail. Collaborating effectively with both researchers and portfolio managers is crucial, as clear communication helps translate technical findings into actionable insights for the team.

What are the key skills and qualifications needed to thrive as a quantitative finance research assistant, and why are they important?

To thrive as a Quantitative Finance Research Assistant, you need strong quantitative and analytical skills, a solid foundation in mathematics or statistics, and usually a relevant degree such as in finance, economics, mathematics, or computer science. Familiarity with programming languages like Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for this role. These skills and qualities are crucial for producing accurate research, supporting data-driven decision-making, and effectively collaborating on complex financial projects.

What cities are hiring for Quantitative Finance Research Assistant jobs?

Cities with the most Quantitative Finance Research Assistant job openings:

What states have the most Quantitative Finance Research Assistant jobs?

States with the most job openings for Quantitative Finance Research Assistant jobs include:

What are popular job titles related to Quantitative Finance Research Assistant jobs?

For Quantitative Finance Research Assistant jobs, the most frequently searched job titles are:

Cubist Quantitative Researcher

New York, NY • On-site

Point72
Finance and Insurance • 501 - 1,000 employees

Full-time

Re-posted 4 days ago


Job description

ABOUT CUBIST
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
JOB DESCRIPTION
Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.
DESIRABLE CANDIDATES
  • MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
  • 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX
  • Strong analytical and quantitative skills
  • Demonstrated ability to conduct independent research utilizing large data sets
  • Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
  • Detail-oriented
  • Willing to take ownership of his/her work, working both independently and within a small team

We're looking for exceptional colleagues with unparalleled passion. If you'd like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you've worked outside of school, or as part of your curriculum. If you're proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we'd love to learn more about what excites you.