Selby Jennings

Python Quant Developer

Selby Jennings

Singapore River, Central Singapore Community Development Council, Singapore · Full Time

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Experience
2+ yrs
Salary
—
Openings
1
Posted
1 week ago
Work mode
In office
Resume
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Job description

Position Overview

We are seeking a Python Quant Developer to join a prominent global quantitative investment firm, located in Singapore or Hong Kong. Candidates with a passion for developing robust quantitative technology, collaborating with researchers and portfolio managers, and supporting systematic investment approaches across diverse asset classes will thrive in this role.

Key Responsibilities

  • Design, develop, and sustain Python-based quantitative research and trading platforms.
  • Collaborate closely with quantitative researchers and portfolio managers to facilitate systematic investment strategies.
  • Create and upgrade data pipelines, infrastructure for research, analytics systems, and production applications.
  • Participate actively in the architecture, coding, testing, and launch of scalable quantitative solutions.
  • Enhance platform efficiency, stability, and automation through the investment process.
  • Assist in incorporating new datasets, model frameworks, and trading procedures.

Candidate Requirements

  • At least 2 years of demonstrated experience in quantitative development, quantitative technology, or comparable positions.
  • Proficient programming abilities in Python.
  • Background in supporting quantitative research, systematic trading, or investment teams.
  • Knowledge of software engineering principles including testing methodologies, version control, and maintaining code quality.
  • Basic understanding of financial markets and quantitative investment methodologies.
  • Effective problem-solving capabilities and strong interpersonal communication.

Preferred Qualifications

  • Experience with systematic hedge funds, asset management, proprietary trading, investment banking, or quantitative investment groups.
  • Familiarity with cloud platforms, distributed computing architectures, or processing of large datasets.
  • Competence in databases, Linux operating systems, and data engineering tools.
  • Evidence of collaboration with front-office personnel including researchers, traders, or portfolio managers.

Benefits

  • Engage with leading experts in quantitative investing.
  • Gain exposure to quantitative trading strategies spanning multiple asset categories.
  • Work in a cooperative, innovation-focused, and research-oriented environment.
  • Receive a competitive pay package with prospects for long-term career advancement.

How they work

Communication Teamwork & Collaboration Problem Solving
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