Algorithm Developer (Quant Research & Trading) – 2027 Grads

Hudson River Trading; Greater London; On-site; GBP 201,687 - 246,506; Full time

Benefits offered by this job

Sign-on bonus

Medical benefits

Performance bonus

Job summary

Hudson River Trading is seeking exceptional quantitative thinkers to join our Algorithm Development teams in New York, London, and Singapore. Algorithm Developers build and maintain models for predictive trading using large market datasets and statistical analysis.

You will work with fellow developers to research, develop and test methods to improve order execution and model training, running models live on our high-performance trading systems and evaluating daily performance for profitability.

Qualifications

• Undergraduate or masters student in a quantitative field eligible for full-time roles in 2027.
• Experience programming in Python and/or C++.
• Experience with statistical analysis, numerical programming, or machine learning.

Responsibilities

• Research, develop and test trading models and order execution methods.
• Collaborate with Software Engineers to deploy models on high-performance infrastructure.
• Analyze model performance to maintain profitability over time.

Skills

Python

C++

Statistical analysis

Machine learning

Independent work

Education

Undergraduate or Masters in quantitative discipline

Tools

Pandas/Numpy

MATLAB

R

Job description

Hudson River Trading (HRT) is seeking exceptional quantitative thinkers to join our Algorithm Development teams in New York, London, and Singapore. 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

Base salary for US is $300,000. Other locations have similarly locally competitive base salaries. 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.

HRT is an equal opportunity employer; so whoever you are we'd love to get to know you.