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Quantitative Developer

Point72 • Venture Capital • Hedge Funds & Alternative Investments • Bachelor's Degree • Python • SQL • ETL/ELT • 9 days ago

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Salary

≈ HK$52k – HK$133k per month (Estimated)

Location

In office (Hong Kong)

Seniority

Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 6, 2026. Point72 scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Point72

Point72 is an American investment firm founded in 2014 when Steven Cohen converted his former hedge fund SAC Capital into a family office, before reopening to outside capital in 2018. It runs a multi-strategy business dominated by discretionary long and short equity teams organised as independent portfolio managers, alongside macro, systematic and quantitative strategies that rely heavily on alternative data and machine learning. Headquartered in Stamford, Connecticut with offices across North America, Europe and Asia, it also operates Point72 Ventures as a venture capital arm and runs a well-known academy programme that trains analysts from outside finance.

point72.com • HQ: Stamford, United States • Venture Capital • Hedge Funds & Alternative Investments • 1001-5000 employees • Est. 2014

Backed by Point72 Ventures - Venture Capital Firm

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

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