Quant ML Researcher: Time-Series & RL in Finance
Listed on 2026-10-18
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Finance & Banking
Data Scientist, FinTech -
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, FinTech
Citadel's Global Quantitative Strategies (GQS) seeks ML researchers in New York (and Singapore) to develop models across asset classes, focusing on deep learning, time-series, NLP, and LLMs for real-world financial problems.
You have an advanced degree in a quantitative field, a strong track record in ML, Python with PyTorch or JAX, robust math & stats, and a passion for applying ML to price formation and market behavior.
Step into the Quant ML Researcher:
Time-Series & RL in Finance role at Citadel in New York, NY, United States and grow with us.
Consider building your career as a Quant ML Researcher:
Time-Series & RL in Finance at Citadel.
The Quant ML Researcher:
Time-Series & RL in Finance position in the Finance, IT & Technology field is open for applications.
We have an opening for a Quant ML Researcher:
Time-Series & RL in Finance in New York, NY, United States within Finance, IT & Technology.
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