Quantitative Developer – Low-Latency Finance & Trading Tools

Gravitas Recruitment Group (Global) Ltd; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Gravitas Recruitment Group (Global) Ltd is seeking a quantitative developer to design and optimise pricing, risk, and P&L libraries in a capital markets trading environment. You will build low-latency components for pre-trade analytics and execution support, and integrate models into trading platforms with robust data handling.

The role requires strong Python, knowledge of financial pricing and risk concepts, plus experience with Linux, SQL, and Git.

Qualifications

• Bachelor's degree or higher in a quantitative or technical field.
• Strong Python programming skills.
• Solid knowledge of algorithms, data structures, and design patterns.
• Experience with capital markets products and trading workflows.
• Experience with pricing, risk concepts, and model lifecycle.
• Familiarity with Linux, SQL, and Git.

Responsibilities

• Design, implement, and optimise quantitative libraries for pricing, risk, and P&L explain, with production-grade quality.
• Develop low-latency and scalable components for pre-trade analytics, order management, and execution support.
• Integrate models into trading platforms, ensuring correct data handling, calibration, and numerical stability.
• Work with market data (real-time and end-of-day) and reference data; implement robust feeds and data quality checks.
• Partner with stakeholders to gather requirements, estimate work, and deliver enhancements under tight timelines.

Skills

Python

Algorithms

Multithreading

Performance-tuning

Time-series

Numerical methods

Quantitative finance

Linux

SQL

Communications

Education

Bachelor's degree in Computer Science or related

Tools

Git

Linux

Job description

Gravitas Recruitment Group (Global) Ltd is seeking a quantitative developer to design and optimise pricing, risk, and P&L libraries in a capital markets trading environment. You will build low-latency components for pre-trade analytics and execution support, and integrate models into trading platforms with robust data handling.

The role requires strong Python, knowledge of financial pricing and risk concepts, plus experience with Linux, SQL, and Git.