Senior Quantitative Researcher (OCaml Experience)

Jane Street
New York, NY

Who this role is best for

Strong fit for candidates with OCaml expertise and financial markets experience who independently manage quantitative research and mentor junior researchers.

Best fit for

  • Individuals with a background in financial time series analysis and model building for trading strategies
    — “applying knowledge of statistics, machine learning, model building, and financial time series analysis to the development of proprietary trading strategies
  • Candidates who have mentored junior researchers and are comfortable with reviewing their work
    — “Review and vet research performed by Junior Quantitative Researchers

Things to consider

  • The role demands direct engagement with traders and junior researchers, not just model development
    — “Liaise with Traders regarding trading opportunities, expectancy, and risks
  • Part-time telecommuting is only available with manager approval, not guaranteed
    — “Part time telecommuting may be permitted with manager approval

How to stand out

  • Highlight OCaml experience specifically in production trading systems, not just academic or hobby use
    — “Implement, configure, and maintain production trading systems in OCaml
  • Demonstrate Python expertise in data analysis and visualization for financial applications
    — “conducting research and performing data analysis and visualization in Python
  • Show familiarity with risk modeling and financial asset pricing for derivatives
    — “Learning and building financial asset pricing models for derivatives
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful trading strategies
  • efficient production trading systems
Typical background
3+ years in quantitative research

Skills & requirements

Required

Quantitative ResearchMachine LearningTrading SystemsOcamlPythonFinancial Time Series AnalysisRisk Modeling

Preferred

Ocaml Experience

Stack & domain

OcamlPythonMachine LearningFinancial Time Series AnalysisDerivativesProblem SolvingTeamworkFinancial MarketsTrading

About the role

Original posting from Jane Street

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

Source: Jane Street careers

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