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Quantitative Developer/Trader, Systematic Equities

MillenniumPosted Mar 26, 2025
Hong Kong (Asia-Pacific)
Hedge FundQuantMid-Senior

About this role

Quantitative Developer/Trader, Systematic Equities

Job Description: Quantitative Developer/Trader, Systematic Equities

Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.

Job Description

A small, collaborative, entrepreneurial quantitative systematic investment team is seeking a strong software developer with exposure to dev ops best practices and experience with equity trading, to join in building trading and research infrastructure. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth, with potential to grow into a research role.

Location

Asia (Aiming SG or HK)

Principal Responsibilities

  • Assist with daily trade monitoring in Asia/Europe
  • Design, code, and maintain team’s infrastructure, R/Python/KDB
  • Improving performance and scale of our research infrastructure.
  • Assist in data ETL and data gathering
  • Perform data analysis and generate live and historical analytical reports
  • Stay current on state-of-the-art technologies and tools including technical libraries, computing
  • Collaborate with the SPM and the trading group in a transparent environment, exposure to a trading environment.

Preferred Technical Skills

  • Bachelor, Master’s in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field
  • Strong familiarity with the Linux operating system (shell / command line tools)
  • 2+ years of experience programming in R or Python in a Linux environment
  • Experience programming in KDB (Would be a plus)
  • Experience with trading systems
  • Understanding statistical concepts related to regressions and machine learning
  • Demonstrate excellent communication, analytical and quantitative skills

Preferred Experience

  • 2-4 years of software development experience in a systematic trading environment

Target Start Date

  • As soon as possible

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