Algorithm Developer (Quant Researcher) – 2026 Grads

Hudson River Trading; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading algorithmic trading firm in Singapore is seeking an exceptional Algorithm Developer to join their team. The role involves building models based on rigorous statistical analysis of market data and collaborating with software engineers. Ideal candidates will have a strong background in quantitative domains and programming skills, particularly in Python or C++. This is a unique opportunity to work in a high-performance trading environment.

Qualifications

• You are eligible for full-time roles in 2026.
• Experience with statistical analysis, numerical programming, or machine learning is preferred.
• Ability to analyze and fix problems efficiently.

Responsibilities

• Build and maintain models that drive trading.
• Apply statistical analysis to market and financial data.
• Work alongside a team to develop and test order execution methods.

Skills

Python programming

C++ programming

Statistical analysis

Problem-solving

Machine learning

Education

Full-time undergraduate or masters in a quantitative discipline

Tools

Pandas

Numpy

R

MATLAB

Job description

Overview

Hudson River Trading (HRT) is seeking exceptional full-time students to join our Algorithm Development team. 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.

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

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 2026
• 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

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.

Apply for this job

Applications are submitted through the online portal. Please use the official application page to provide your information and supporting materials.