Quantitative Developer - Quant Implementation
I am working with a leading hedge fund that is seeking a highly motivated individual to join their quantitative technology group! This position focuses on developing and maintaining the systems that support quantitative research, model development, and systematic investment processes across the organization.
Key Responsibilities:
- Develop tools and infrastructure used for model research and backtesting
- Implement enhancements to the research and production environment
- Collaborate with quantitative researchers to translate research needs into robust engineering solutions
- Maintain and improve data handling pipelines, ensuring high reliability and consistency
- Contribute to the deployment and monitoring of systematic strategies
Qualifications:
- Strong programming experience, particularly in Python
- 1-5 YOE
- Understanding of numerical methods, statistics, or machine learning concepts
- Familiarity with software engineering best practices (testing, version control, CI/CD)
- Ability to work effectively in a collaborative, research-driven environment
- Academic background in a quantitative discipline (e.g., Computer Science, Mathematics, Physics, Engineering)
Desired Skills:
- Exposure to distributed computing or high‑performance systems
- Interest in financial markets or systematic trading
- Experience with C++, SQL, or cloud-based compute environments
This role offers the opportunity to contribute to the technical foundation of systematic investment strategies while working alongside experienced quantitative researchers and developers. Candidates who enjoy building reliable, scalable systems are encouraged to apply.
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