Senior Quantitative Researcher (OCaml Experience)

Posted 8 Hours Ago
Be an Early Applicant
New York, NY, USA
In-Office
Senior level
Financial Services
The Role
Conduct independent quantitative research using large datasets, machine learning, statistical modeling, and financial time series analysis. Develop and maintain automated proprietary trading systems in OCaml and Python, create trading strategies, build derivatives pricing models, and monitor portfolio risk. Review and mentor junior researchers, train them in quantitative methods and OCaml, and collaborate with traders on opportunities, expected returns, and risks.
Summary Generated by Built In

Jane Street Group, LLC  has multiple openings for the position of Senior Quantitative Researcher in New York, NY.

The position duties are as follows: Independently analyze large datasets using a variety of machine learning techniques, build and test models, create new trading strategies and write the code that implements them. Day-to-day job duties include:

  • Independently manage and execute quantitative research; 
  • Implement, configure, and maintain production trading systems in OCaml; 
  • Review and vet research performed by Junior Quantitative Researchers; 
  • Mentor and train Junior Quantitative Researchers in statistical and modeling techniques, financial markets, and idioms of the OCaml programming language; and
  • Liaise with Traders regarding trading opportunities, expectancy, and risks pertaining to proprietary valuation and trading methods.

The position requires a 3 or 4 year Bachelor’s Degree in Mathematics, Physics, Engineering, Computer Science or a related scientific or quantitative field or foreign equivalent plus one (1) year of experience in any occupation where an individual gains experience conducting quantitative research in the context of financial markets. Experience must include:

  • One (1) year of experience working directly with an automated proprietary trading system; 
  • One (1) year of experience applying knowledge of statistics, machine learning, model building, and financial time series analysis to the development of proprietary trading strategies; 
  • One (1)  year of experience conducting research and performing data analysis and visualization in Python; 
  • Developing and maintaining trading systems using software engineering fundamentals in Python and OCaml; 
  • Learning and building financial asset pricing models for derivatives; and 
  • Monitoring and modeling risk across trading portfolios.
  • All technical requirements for this role may be subject to employer conducted testing to assess minimum proficiency.

Part time telecommuting may be permitted with manager approval.

Ref. SQR26

Skills Required

  • Bachelor's degree in Mathematics, Physics, Engineering, Computer Science, or a related scientific or quantitative field, or foreign equivalent
  • At least one year of experience conducting quantitative research in financial markets
  • At least one year of experience working directly with an automated proprietary trading system
  • At least one year of experience applying statistics, machine learning, model building, and financial time series analysis to proprietary trading strategies
  • At least one year of experience conducting research and performing data analysis and visualization in Python
  • Experience developing and maintaining trading systems using software engineering fundamentals in Python and OCaml
  • Experience learning and building financial asset pricing models for derivatives
  • Experience monitoring and modeling risk across trading portfolios
  • Technical proficiency may be assessed through employer-conducted testing

Jane Street Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Jane Street and has not been reviewed or approved by Jane Street.

  • Healthcare Strength Medical, dental, and vision coverage are offered at no cost for employees and dependents, with robust onsite care including primary care, physical therapy, and mental‑health therapy. Private onsite gyms and counseling resources further reinforce the health focus.
  • Parental & Family Support Fully paid parental leave for all parents, with additional time for birth parents, is highlighted alongside expanded fertility benefits and well‑equipped nursing suites. These offerings position family support as a core element of the package.
  • Wellbeing & Lifestyle Benefits Daily free meals and snacks, private onsite gyms, recreation spaces, and rich learning programs (including tuition reimbursement and company classes) elevate day‑to‑day quality of life. Onsite medical suites and speaker series add to the lifestyle and development mix.

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The Company
HQ: New York, NY
1,390 Employees
Year Founded: 2000

What We Do

Jane Street works differently. As a liquidity provider and market maker, we trade on more than 200 trading venues across 45 countries and help form the backbone of global markets. Our approach is rooted in technology and rigorous quantitative analysis, but our success is driven by our people. Our bright, beautiful offices in the heart of New York, London, Hong Kong, and Amsterdam are open and buzzing with conversation. We come from many backgrounds and encourage travel between offices to share perspectives. Some of our best ideas come from bumping into a visiting colleague at the office coffee bar. Markets move fast. Staying competitive as we’ve grown has required constant invention—of new trading strategies, technology, and processes. We’ve found this is easier when you hire humble, kind people. They tend to help each other, and prioritize teamwork over titles. We invest heavily in teaching and training. There’s a library and a classroom in every office, because deepening your understanding of something is considered real work. Guest lectures, classes, and conferences round out the intellectual exchanges that happen every day. People grow into long careers at Jane Street because there are always new and interesting problems to solve, systems to build, and theories to test. More than twenty years after our founding, it still feels like we’re just getting started.

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