Quantitative Developer/Trader, Systematic Equities
at Millennium
Posted 6 days ago
No clicks
- Compensation
- Not specified
- City
- Singapore, Hong Kong
- Country
- Singapore
Currency: Not specified
Join a small, collaborative quantitative systematic investment team to build trading and research infrastructure. You will design, code, and maintain the team’s infrastructure in R/Python/KDB, assist with daily trade monitoring in Asia/Europe, and contribute to data ETL, data gathering, and live/historical analytical reporting. The role involves staying current on state-of-the-art technologies, collaborating with the SPM and trading group in a transparent trading environment, with potential to evolve into a research role. Location: Asia (aiming Singapore or Hong Kong).
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
