Quantitative Developer — High-Performance Finance (APAC)

Millennium; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Millennium is expanding its APAC-focused execution and financing initiative, seeking a development-focused professional with strong Python and q/kdb+ experience. You will work across researchers and traders to deploy quantitative models and software solutions for large streaming datasets.

The role requires a solid Unix background and collaboration across cross-functional teams in a fast-paced financial environment, with opportunities for growth within a global firm.

Qualifications

• Two to ten years of development experience in a financial institution.
• Proficiency in Unix and multiple programming languages.
• Educational background in statistics, mathematics, physics, or computer science.

Responsibilities

• Develop applications across a broad range of systems using q/kdb+ and Python.
• Optimize computationally intensive quantitative models for high-performance processing of large streaming datasets.
• Build standalone applications and contribute to related teams’ codebases.
• Partner with other teams to define technical specifications and integration requirements, including APIs.
• Collaborate closely with researchers and traders to deliver models and applications supporting the APAC-led execution and financing initiative.
• Communicate ideas, questions, and conclusions clearly and concisely.

Skills

Python

q/kdb+

Unix

Communication

Education

Statistics/Math/CS

Tools

Databases

Job description

Millennium is expanding its APAC-focused execution and financing initiative, seeking a development-focused professional with strong Python and q/kdb+ experience. You will work across researchers and traders to deploy quantitative models and software solutions for large streaming datasets.

The role requires a solid Unix background and collaboration across cross-functional teams in a fast-paced financial environment, with opportunities for growth within a global firm.