Early Career Radar
Quant · Not specified

Quantitative Developer Intern

Point72

Location
New York · NYC
Opening date
Discovered Jul 18
Source
Point72 official careers
Employer posting

Job description

Captured from employer · Jul 18, 2026

s for Summer 2025. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact.

You will gain exposure to a variety of activities, which may include: Enhancing quantitative research platforms by benchmarking and integrating in-house and cloud technologies Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases Improving research and trading tools and infrastructure Desirable Candidates Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline Strong programming experience in Python with production-level coding quality Experience with Unix environment and shell scripting Experience with cloud computing,

ideally AWS and Databricks Experience with numerical Python libraries (e.g.

Numpy, Pandas, PyTorch, etc.) Knowledge of version control (Git) and software CI/CD tools and lifecycle Knowledge of profiling (e.g. cProfile, SnakeViz, memory-profiler, etc.) and code optimization is a plus Knowledge of statistics and machine learning is a plus Willing to take ownership of his/her work, working both independently and within a small team Prior experience in the financial services industry is not required Commitment to the highest ethical standards Point72 is a leading global alternative investment firm led by Steven A. Cohen.

Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

Qualifications

You will gain exposure to a variety of activities, which may include: Enhancing quantitative research platforms by benchmarking and integrating in-house and cloud technologies Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases Improving research and trading tools and infrastructure Desirable Candidates Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline Strong programming experience in Python with production-level coding quality Experience with Unix environment and shell scripting Experience with cloud computing, ideally AWS and Databricks Experience with numerical Python libraries (e.g. Add another What degree are you currently pursuing?

Tech stack

Python, SQL, AWS, PyTorch, Git

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