Algorithm Developer; Quant Researcher – PhDs
Listed on 2026-05-26
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Mathematics
Location: New York
Algorithm Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models.
In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. You can expect to apply your advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies.
Profile- You’re excited to apply your research expertise to identify new opportunities in worldwide markets
- You enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently
- You are a critical thinker who can learn and implement new skills in a fast-changing environment
- You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2026
- Fluency in Python
- Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
- Brilliant analytical and problem-solving skills
- Ability to work creatively and independently on long-term technical problems
Annual base salary of $300,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign‑on and discretionary performance bonus will be provided as part of the total compensation package, in addition to company‑paid medical and/or other benefits.
HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).