Hudson River Trading

Algorithm Developer (Quant Researcher) - 2027 Grads

Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Full-time undergraduate or master's student in a quantitative discipline (math, physics, computer science, statistics, or related) eligible for full-time roles in 2027
  • Proficient in Python and/or C++ programming
  • Experience in statistical analysis, numerical programming, or machine learning using Python, Pandas/Numpy, R, or MATLAB
  • Passion for applying quantitative models and technology to real-world problems
  • Strong analytical and problem-solving abilities
  • Creative and independent working capability on long-term technical challenges.

Responsibilities

  • Build and maintain predictive trading models using rigorous statistical analysis
  • Research and develop novel order execution and model training methods
  • Test and implement strategies to enhance trading efficiency
  • Run models live on high-performance trading infrastructure
  • Analyze daily model performance to ensure ongoing profitability
  • Collaborate with other Algorithm Developers and Software Engineers to solve complex challenges.

Benefits

  • Discretionary performance-based bonuses
  • Competitive benefits package
Full Job Description
Algorithm Developer (Quant Researcher) - 2027 Grads
Algorithm Developers at HRT are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models.

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability.

Ideal candidates are strong researchers eager to learn new skills, who can work both independently and collaboratively to solve problems efficiently.

Qualifications
  • You are a full-time undergraduate or masters student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is 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

The estimated base salary for this position is 300,000 USD per year. The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

About Hudson River Trading

Hudson River Trading (HRT) is a multi-asset class quantitative trading firm, and more specifically a high-frequency trading (HFT) firm, based in New York City and founded in 2002. The company is a global liquidity provider and market maker, operating in markets across the world, including equities, futures, options, currencies, and fixed income. HRT uses advanced technology and algorithms to analyze market data and execute trades at high speeds, with a focus on providing liquidity to the markets and minimizing risk. The company is known for its innovative approach to trading and its use of cutting-edge technology, including machine learning and artificial intelligence.
Learn more about Hudson River Trading
Size
500 employees
Industry

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