Quantitative Developer Intern

Point72
New York, NY
On-siteCareer-pivot friendly

Who this role is best for

Aimed at undergraduate or graduate students in quantitative disciplines who can work in a collaborative, fast-paced environment in New York.

Best fit for

  • Students with a strong Python background and interest in financial data infrastructure and machine learning
    — “Strong programming experience in Python with production-level coding quality”
  • Candidates who have prior exposure to financial services or are eager to learn about equities trading
    — “Prior experience in the financial services industry is a plus”
  • Individuals comfortable with Unix environments and who can independently manage and optimize code
    — “Experience with Unix environment and shell scripting”

Things to consider

  • The team is small and collaborative, which may demand quick adaptability and communication skills
    — “Work closely with our team, receive comprehensive, in-depth training”

How to stand out

  • Highlight experience with Docker and Unix-based systems in your resume and interview responses
    — “Experience with containerization and orchestration technologies, particularly Docker”
  • Emphasize your ability to take ownership of projects and deliver results independently
    — “Ability to take ownership of projects, work independently, and collaborate effectively within a small team”
  • Showcase specific examples of optimizing code or improving data pipelines in your application materials
    — “Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases”
  • Demonstrate your understanding of how machine learning can be applied in financial trading contexts
    — “developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

  • Improving signal research and trading tools infrastructure
  • Optimizing data ETL pipelines
Typical background
Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline

Skills & requirements

Required

PythonContainerizationUnix EnvironmentShell Scripting

Preferred

Machine LearningProfiling

Stack & domain

PythonMachine LearningData ETLUnix EnvironmentShell ScriptingCollaborationOwnershipQuantitative FinanceTrading Signals

About the role

Original posting from Point72 via Greenhouse

JOB RESPONSIBILITIES

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.

We are looking for exceptional students to join us as quantitative developer interns for Summer 2027. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have a real impact.

You will gain exposure to a variety of activities, which may include:

Improving signal research and trading tools infrastructure

Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases

Working alongside quant researchers developing quant signals

Developing automated equities trading application and real-time analytics

DESIRABLE CANDIDATES

Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline, or current enrollment in a related undergraduate or graduate program

Strong programming experience in Python with production-level coding quality

Experience with containerization and orchestration technologies, particularly Docker

Experience with Unix environment and shell scripting

Knowledge of profiling (e.g. VisualVM, async-profiler) and code optimization is a plus

Knowledge of statistics and machine learning is a plus

Ability to take ownership of projects, work independently, and collaborate effectively within a small team

Prior experience in the financial services industry is a plus

Commitment to the highest ethical standards

Source: Point72 careers (Greenhouse)

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