- Partner with the research team to understand future research directions and build the next generation of highly scalable infrastructure for alpha, signal, and portfolio construction.
- Incorporate advancements in machine learning, hardware accelerators and high-performance computing to optimize research workflows.
- Maintain, develop, and re-imagine the extensive internal research stack that continues to be a differentiating factor for PDT business.
- Optimize models for inference and use in real time trading systems.
Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people.
- Experience with building infrastructure for training/fine-tuning large ML models.
- Intellectual curiosity and a strong interest in solving difficult problems.
- Exceptional programming skills and proficiency in identifying performance bottlenecks.
- Experience with the python scientific stack and DL libraries (PyTorch, Tensorflow, etc.)
- Experience with hardware accelerators.
- Previous experience in Quant Finance is not required.
The salary range for this role is between $190,000 and $250,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.
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