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Python Quant Developer

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Onsite

Python Quant Developer

Selby Jennings

Python Quant Developer

Skills

Data EngineeringPythonGitData AnalysisLinux

1 month ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

16 September 2026

What they need


Python Quant Developer

Location: Singapore / Hong Kong

Experience: 2+ years

Selby Jennings is partnering with a leading global quantitative investment firm to hire Python Quant Developers to join systematic trading and investment teams. This opportunity is suitable for individuals who enjoy building production-grade quantitative technology, working closely with researchers and portfolio managers, and developing tools that support systematic investment strategies across various asset classes.

Responsibilities

  • Develop and maintain Python-based quantitative research and trading tools.
  • Partner closely with quantitative researchers and portfolio managers to support systematic investment strategies.
  • Build and enhance data pipelines, research infrastructure, analytics platforms, and production systems.
  • Contribute to the design, implementation, testing, and deployment of scalable quantitative applications.
  • Improve platform performance, reliability, and automation across the investment lifecycle.
  • Support the integration of new datasets, models, and trading workflows.

Requirements

  • Minimum 2 years of experience in a Quant Developer, Quantitative Technology, or related role.
  • Strong programming skills in Python.
  • Experience supporting quantitative research, systematic trading, or systematic investment teams.
  • Understanding of software engineering best practices, including testing, version control, and code quality.
  • Familiarity with financial markets and quantitative investment processes.
  • Strong problem-solving and communication skills.

Preferred Experience

  • Exposure to systematic hedge funds, asset managers, proprietary trading firms, investment banks, or quantitative investment teams.
  • Experience working with cloud technologies, distributed computing, or large-scale data processing.
  • Knowledge of databases, Linux environments, and data engineering frameworks.
  • Experience working with researchers, traders, or portfolio managers in a front-office environment.

What's on Offer

  • Opportunity to work alongside leading quantitative investment professionals.
  • Exposure to systematic trading and quantitative investment strategies across multiple asset classes.
  • Collaborative, technology-driven environment with strong emphasis on innovation and research.
  • Competitive compensation package and long-term career development opportunities.

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