Quantitative Developer

On-siteMidData Engineerposted 4d ago

✦Role summaryAI-generated

The Quantitative Developer will build and maintain automated equity trading systems, optimizing ETL pipelines, in‑memory caches, and SQL databases for real‑time analytics. Collaboration with quant researchers will focus on integrating machine‑learning driven signals into the trading infrastructure.

Skills required

Python C++SQL ETL Real-time analytics Machine learning In-memory caching Distributed computing Docker Statistics

About this role

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.

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

Developing automated equities trading applications and real-time analytics
Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases
Work alongside quant researchers developing quant signals.
Improving signal research and trading tools infrastructure

DESIRABLE CANDIDATES

Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline
5+ years of experience at a hedge fund, major investment bank, or quantitative trading firm
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
Willing to take ownership of his/her work, working both independently and within a small team
Prior experience in the financial services industry is a plus
Commitment to the highest ethical standards