We are seeking a Quant Developer to work for a top tier hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. Working within a systematic global macro team based in New York with a focus on applying cutting edge statistical and machine learning techniques to short-term strategies in futures, swaps, and FX markets.
Preferred Location: New York
Principal Responsibilities - Partner closely with the Senior Portfolio Manager to develop data engineering and prediction tools for systematic trading
- Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team
- Manage SDLC, including unit testing and CI/CD infrastructure
- Author, schedule, and monitor workflow for the team
Preferred Technical Skills - Expert in Python
- Demonstrated knowledge of distributed computing technologies (including Kubernetes) and event based architectures
- Broad understanding of fixed income, swaps, futures, and FX
- Bachelor, Master's, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field from top ranked University
- Excellent communication, analytical and quantitative skills
Preferred Experience - Experience with trading platform development, including work with high frequency databases (e.g. KDB)
- 2-5 years of experience in finance or technology
- 3+ years of experience with Python programming
Highly Valued Relevant Experience - Exposure to a systematic trading environment or sell-side equivalent experience
- Experience with user interfaces, including CSS frameworks such as Bootstrap or Materialize, as well as visualization frameworks such as D3.js
- Knowledge of machine learning and statistical techniques and related libraries
- Team player, with a strong desire to participate and help others
- Strong critical thinking skills and creativity in developing new ideas
