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Tech Stack
Tools & technologiesNumpyPandasPythonPyTorch
About the role
Key responsibilities & impact- Develop, test, and productionize predictive signals across asset classes using a combination of statistical methods, machine learning, and AI agent–driven research workflows.
- Investigate model behavior, signal decay, PnL attribution, and unexpected trading outcomes.
- Study order book dynamics, execution costs, liquidity, and venue behavior to inform both signal design and execution strategy.
- Help design and extend internal agentic systems that automate parts of the research pipeline — data exploration, hypothesis generation, backtest configuration, results summarization, and report drafting.
- Work closely with traders, engineers, and other researchers to turn ideas into live, monitored strategies.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
ATS Keywords
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Hard Skills & Tools
Pythonmachine learningstatistical methodsAI agentsLLM-based systemsstatisticsprobabilitydata explorationhypothesis generationbacktesting
Soft Skills
strong written communicationstrong verbal communicationcollaborationproblem-solvingcritical thinking
Certifications
PhD in quantitative field