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.