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