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Hudson River Trading

Junior Treasury Quant Researcher

Hudson River Trading · New York, NY, United States

Posted about 3 months ago · $150,000 - $200,000

or apply directly on Hudson River Trading's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Hudson River Trading's roles stay open a median of 81 days
Reposted
No
Salary listed
Yes
8% of Hudson River Trading's roles list one
Ghost-job risk at Hudson River Trading
high
74 stale, 0 reposted of 78 open
Hiring momentum
93 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Hudson River Trading's own greenhouse board since 2026-08-03. Full hiring picture for Hudson River Trading.

About this role

As a Junior Treasury Quant Researcher at Hudson River Trading, you will focus on Treasury optimization and research, collaborating with various teams to enhance funding efficiency and capital allocation. Your role involves building and improving quantitative models, conducting research to identify new opportunities, and integrating analytics into production systems in a fast-paced financial environment.

Our read on this posting3.2out of 5
benefits
2/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Hudson River Trading as an employer.

What you need

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, Operations Research, or a related quantitative field
  • Exceptional problem-solving skills with a strong foundation in mathematical, statistical, or optimization fundamentals
  • Strong programming skills with solid experience in Python
  • Excellent cross-functional communication skills, with the ability to work effectively with engineers, researchers, and financial professionals

Nice to have

  • Proficiency with numerical computing or machine learning libraries (e.g., NumPy, Pandas, PyTorch, TensorFlow)
  • Familiarity with optimization techniques, such as gradient descent and linear/convex programming
  • Knowledge of portfolio financing, funding mechanics, prime brokerage, or risk management frameworks

What you get

  • Estimated base salary range of $150,000 - $200,000
  • Eligibility for discretionary performance-based bonuses
  • Competitive benefits package

Worth weighing

  • No specific mention of remote work options
  • Use of AI tools during interviews is prohibited, which may affect candidates' preparation strategies

Summarised from Hudson River Trading's posting. Read the full original.

Listed by Hudson River Trading on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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