A quantitative systematic investment team is seeking a strong software developer 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 do grow into a research role.
Principal Responsibilities
- Design, code, and maintain team’s infrastructure in Python
- Build out Transaction cost analysis and Machine-Learning based frameworks for the team to leverage
- Improving performance of research infrastructure.
- Assist in data ETL and data gathering process
- 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, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field
- Demonstrated experience working in python to build integrated software systems
- Experience programming in C++ (this is a plus)
- Experience building out quantitative tools for research
- Experience with AWS or GCP
- Experience with DevOps and/or MLOps
- Demonstrate excellent communication, analytical and quantitative skills
Preferred Experience
- Preference for candidates with existing quant finance experience, but will consider non-finance profiles with track record of working on real-time systems in a production environment
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