Treasury Optimization Quant Researcher
Listed on 2026-10-16
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Finance & Banking
Data Scientist
Hudson River Trading (HRT) is seeking a Quantitative Researcher focused on Treasury Optimization and Research to join our Post Trade team. You will work with Funding, Finance, and Treasury Engineering to develop optimization models and enhance funding efficiency across global markets.
The ideal candidate has strong quantitative thinking, expertise in optimization or ML, and proficiency in Python with libraries such as Num Py, Pandas, PyTorch or Tensor Flow.
We have an opening for a Treasury Optimization Quant Researcher in New York, NY, United States within IT & Technology, Other.
We would love to welcome a new Treasury Optimization Quant Researcher to our group in New York, NY, United States.
For the Treasury Optimization Quant Researcher position at Hudson River Trading, we are reviewing applications now.
Step into the Treasury Optimization Quant Researcher role at Hudson River Trading in New York, NY, United States and grow with us.
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