Quantitative Developer - Algo Execution (Python)
Job Description
Quantitative Developer – Algorithmic Execution
Role Overview
Our client, a global trading firm seeks a Quantitative Developer for a new Asia-Pacific execution and financing initiative. You will develop low-latency models and manage high-volume equity flows.
Key Responsibilities (In Order of Importance)
- Model Optimization: Design high-throughput quantitative models for real-time streaming data.
- Core Development: Build stand-alone applications and integrate systems using Python and q/kdb+.
- Team Collaboration: Partner with researchers and traders to define API design specifications.
- Communication: Present technical ideas and data conclusions clearly and concisely.
Required Skills & Experience (In Order of Importance)
- Experience: 2–10 years of intensive development experience in a quantitative financial environment.
- Technical Stack: Proficiency in both compiled and interpreted languages, plus strong Unix skills.
- Domain Knowledge: Understanding of equity electronic trading mechanics and market microstructure is preferred.
- Data Systems: Experience with time-series databases (specifically q/kdb+) is highly advantageous.
- Education: Degree in Computer Science, Mathematics, Physics, Statistics, or a related field.
- Soft Skills: Ability to work independently, collaborate across teams, and prioritize under pressure.
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