Algorithmic Trading Quant Developer

Trading Interview

New York (NY)

On-site

USD 255,000 - 345,000

Full time

7 days ago
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Job summary

Hudson River Trading (HRT) in New York seeks exceptional quantitative thinkers to join our Algorithm Development teams. You will build and maintain predictive trading models by applying rigorous statistical analysis to large market data sets.

As part of a cross‑functional team with Software Engineers, you will research, develop, and test novel order execution and model training methods, run models on our high‑performance trading infrastructure, and monitor daily performance to sustain

Qualifications

  • You are a full-time undergraduate or masters student in a quantitative discipline eligible for full-time roles in 2027.
  • Experience programming in Python and/or C++.
  • Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB.
  • A passion for applying quantitative models and technology toward solving real-world problems.
  • Brilliant analytical and problem-solving skills.
  • Ability to work creatively and independently on long-term technical problems.

Responsibilities

  • Research, develop, and test novel order execution and model training methods to increase trading efficiency.
  • Run models live on our high-performance trading infrastructure and analyze daily performance to maintain profitability.
  • Collaborate with fellow Algorithm Developers and Software Engineers to advance trading models.

Skills

Python
C++
Statistics
Machine learning
Pandas/Numpy
R/MATLAB

Education

Undergraduate or Master's student in quantitative discipline

Tools

Pandas/Numpy
R
MATLAB

Job description

Hudson River Trading (HRT) in New York seeks exceptional quantitative thinkers to join our Algorithm Development teams. You will build and maintain predictive trading models by applying rigorous statistical analysis to large market data sets.

As part of a cross‑functional team with Software Engineers, you will research, develop, and test novel order execution and model training methods, run models on our high‑performance trading infrastructure, and monitor daily performance to sustain

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