Junior Quantitative Researcher (Fresh STEM PhD graduates are welcome)

Core Requirements

• PhD (recently completed or near completion) in a quantitative field — e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics, Electrical Engineering, Operations Research, or a related discipline.
• Strong programming skills in Python; comfortable with the modern data and ML stack (NumPy, pandas, PyTorch or JAX, etc.).
• Hands-on experience building with AI agents and LLM-based systems — for example, tool-using agents, multi-step reasoning pipelines, retrieval systems, or evaluation frameworks. We want to see that you have actually built things, not just read papers.
• Solid grounding in statistics, probability, and machine learning, with the rigor to know when a result is real and when it isn't.
• Genuine interest in financial markets and trading, demonstrable through coursework, personal projects, competitions, internships, or self-directed study.
• Strong written and verbal communication; able to explain technical work clearly to a mixed audience.