Python Quant Developer
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
- Required to apply
Where you'll work
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Job description
Role Overview
Selby Jennings is collaborating with a prominent global quantitative investment firm to recruit Python Quant Developers for their systematic trading and investment teams based in Singapore or Hong Kong. This role suits professionals passionate about crafting production-level quantitative technology and working in close collaboration with researchers and portfolio managers to develop supportive tools for systematic investment strategies across diverse asset classes.
Key Responsibilities
- Create and maintain Python-based tools for quantitative research and trading.
- Collaborate closely with quantitative researchers and portfolio managers to facilitate systematic investment approaches.
- Construct and improve data pipelines, research frameworks, analytics platforms, and production systems.
- Participate in the design, coding, testing, and deployment of scalable quantitative applications.
- Enhance the platform’s performance, reliability, and automation throughout the investment process.
- Assist with integrating new datasets, models, and trading workflows.
Mandatory Qualifications
- At least 2 years of relevant experience in a Quant Developer, Quantitative Technology, or related capacities.
- Proficient programming skills in Python.
- Experience supporting quantitative research or systematic trading/investment teams.
- Knowledge of software engineering best practices, including testing, version control, and maintaining code quality.
- Understanding of financial markets and quantitative investment methods.
- Excellent problem-solving capabilities and communication skills.
Preferred Background
- Familiarity with systematic hedge funds, asset management firms, proprietary trading, investment banking, or quantitative investment groups.
- Experience with cloud platforms, distributed computing, or handling large-scale data processing.
- Knowledge of database systems, Linux operating systems, and data engineering tools.
- Working experience alongside researchers, traders, or portfolio managers within front-office settings.
What the Position Offers
- Chance to work with leading professionals in quantitative investments.
- Insight into systematic trading and investment techniques spanning various asset classes.
- A collaborative and tech-driven environment emphasizing innovation and research.
- Competitive pay structures and potential for long-term career advancement.