Quantitative Developer Execution

Key Responsibilities

Full-Lifecycle Implementation:

Participate in the full lifecycle of quantitative strategy implementation, including research, code optimization and deployment, order execution, policy compliance, and risk control.

Research Tooling & Backtesting:

Work closely with the research team to design and develop strategy research tools on our in-house backtesting platform, tailored to their specific use cases.

Production Ownership:

Take ownership of the development and maintenance of live trading processes, continuously improving the production quality and reliability of strategies through robust technical solutions.

Infrastructure Collaboration:

Collaborate with the engineering team to shape and implement core components of our distributed systems, data platforms, and trading infrastructure-your contributions will directly impact both research and live trading performance.

Algo Optimization:

Partner with the research team to iterate on execution features, translating mathematical models and signals into high-performance, low-latency code across global equity and futures markets.

Required Qualifications & Skills

Strong Programming Foundations:

Proficient in Linux environments, Production-level experience in

C++ (modern standards) for low-latency components and

Python

for data analysis, rapid prototyping, and framework development.

Domain Expertise:

Solid understanding of

equity and futures markets , including market microstructure, order book dynamics, and electronic execution logic.

System Design & Architecture:

Experience contributing to or designing complex frameworks (e.g., backtesters, data pipelines, simulation environments, or analytics engines).

Mathematical/Quantitative Literacy:

Comfortable with statistics, data analysis, and evaluating the mathematical logic behind execution signals and performance metrics.

Communication & Collaboration:

Exceptional ability to translate concepts between highly academic researchers, strict system engineers, and fast-paced production traders.

Preferred/Nice-to-Have

Outstanding performance in competitive programming contests such as NOI or ICPC.

Experience with distributed systems, high-performance computing (HPC), or handling large-scale tick data.

Familiarity with connectivity protocols (e.g., FIX, native exchange APIs).

Publications in top-tier CS or Statistics journals/conferences.

Award-winning participant in Kaggle machine learning competitions.

Internship or work experience in proprietary trading firms, hedge funds, or leading tech companies.