Avatar for Hudson River Trading
Hudson River Trading
Actively Hiring
Researching and developing automated trading algorithms using advanced mathematical techniques
  • B2B
  • Scale Stage
    Rapidly increasing operations

Algorithm Developer (Quant Researcher) – 2025 Grads

Posted: 1 month ago
Visa Sponsorship

Not Available

RelocationAllowed

About the job

Please only apply to one job posting. In the application questions below, you’ll have the opportunity to indicate if you’re interested in multiple offices and/or roles. Please do not submit multiple applications for different positions/offices!

This role is directed at graduates seeking a 2025 start date. For 2026 start dates please take a look at our internships.

Algorithm Developers 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.

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 2025
  • 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

Profile

  • You are capable of working independently as well as part of a team
  • You can analyze and fix problems efficiently
  • You learn quickly and apply new skills effectively

Annual base salary range of $175,000 to $250,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign-on and discretionary performance bonus will be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

About the company

Hudson River Trading company logo

Hudson River Trading

Actively Hiring
Researching and developing automated trading algorithms using advanced mathematical techniques201-500 Employees
  • B2B
  • Scale Stage
    Rapidly increasing operations
Learn more about Hudson River Trading image

Founders

Alex Morcos
Founder • 3 years
New York
image
Suhas Daftuar
Founder • 3 years
image
View the team image

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