Algorithm Developer (Quant Researcher) – 2027 PhDs

About the role

Hudson River Trading seeks full-time PhD graduates for Algorithm Developer roles in New York and Singapore. Candidates will develop predictive trading models using statistical analysis and machine learning to enhance trading efficiency.

Role and Responsibilities

• Build and maintain predictive trading models using statistical analysis.
• Research, develop, and test novel order execution and model training methods.
• Run models live on high-performance trading infrastructure.
• Analyze daily model performance to maintain profitability.
• Collaborate with Algorithm Developers and Software Engineers.
• Apply advanced academic research to real-world trading problems.

Candidate Requirements

• Full-time PhD student in quantitative discipline eligible for 2027 full-time roles.
• Fluency in Python programming language.
• Experience with statistical analysis, numerical programming, or machine learning.
• Familiarity with Pandas, Numpy, R, and/or MATLAB.
• Strong analytical and problem-solving skills.
• Ability to work independently on long-term technical problems.

Compensation and Benefits

• Estimated base salary of $300,000 USD per year.
• Salary varies by location, knowledge, skills, and experience.
• Eligible for discretionary performance-based bonuses.
• Competitive benefits package included.

Work Environment and Culture

• Scientific approach to trading financial products.
• Sophisticated computing environment for research and development.
• Collaborative and transparent culture valuing great ideas.
• Diverse and inclusive global staff.
• Community of motivated self-starters.
• Emphasis on togetherness beyond the office.

Application and Interview Notes

• Use of AI tools during interviews or assessments is prohibited.
• Authenticity of candidate responses is evaluated.
• AI assistance use may lead to disqualification or offer rescindment.