Apply on Employer Site

Hudson River Trading · 1 day ago

Algorithm Developer (Quant Researcher) – 2026 PhDs

New York, NY

Full-time

Onsite

New Grad, Entry Level

$300K/yr - $300K/yr

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development team. The role involves building and maintaining trading models through statistical analysis and collaboration with fellow developers to enhance trading efficiency.

Financial Services

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Building and maintaining the models that drive our trading

Applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models

Research, develop, and test novel order execution and model training methods to increase trading efficiency

Running models live on our high-performance trading infrastructure

Analyzing daily performance to maintain ongoing profitability

Qualification

Fluency in PythonStatistical analysisMachine learningNumerical programmingAnalytical skillsProblem-solving skillsCreative thinkingIndependent work

Required

You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2026

Fluency in Python

Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB

Brilliant analytical and problem-solving skills

Ability to work creatively and independently on long-term technical problems

Benefits

Discretionary performance-based bonuses

Competitive benefits package

Company

Hudson River Trading

Glassdoor4.5

Hudson River Trading opertes as a multi-asset class quantitative trading firm.

Founded in 2002

New York, New York, USA

1001-5000 employees

https://www.hudsonrivertrading.com

H1B Sponsorship

Hudson River Trading has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (27)

2024 (23)

2023 (30)

2022 (19)

2021 (13)

2020 (16)