Quantitative Developer

Point72
Hong Kong, Hong Kong SAR China
On-siteCareer-pivot friendly

Who this role is best for

Geared toward experienced developers comfortable with real-time analytics and signal optimization, working in a collaborative team in Hong Kong.

Best fit for

  • Experienced developers with a background in financial quant tools and infrastructure optimization
    — “Developing automated equities trading applications and real-time analytics”
  • Candidates with a strong grasp of machine learning and data pipeline optimization
    — “Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases”
  • Individuals who have worked in hedge funds or quantitative trading firms and thrive in collaborative settings
    — “5+ years of experience at a hedge fund, major investment bank, or quantitative trading firm”

Things to consider

  • Commitment to ethical standards is explicitly emphasized as a requirement
    — “Commitment to the highest ethical standards”

How to stand out

  • Highlight experience with real-time systems and production-level Python coding in your resume
    — “Strong programming experience in Python with production-level coding quality”
  • Demonstrate your ability to collaborate with quant researchers and take ownership of projects
    — “Willing to take ownership of his/her work, working both independently and within a small team”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

  • optimized trading signals
  • improved trading application performance
  • enhanced data pipelines
Typical background
quantitative financedata sciencesoftware engineering

Skills & requirements

Required

Python ProgrammingMachine LearningData EngineeringQuantitative AnalysisTrading Systems

Preferred

DockerUnixProfilingStatistics

Stack & domain

PythonDockerUnixShell ScriptingProfilingFinance

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.

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

Source: Point72 careers (Greenhouse)

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