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Hudson River Trading

Hudson River Trading

www.hudson-trading.com

4 Jobs

1,084 Employees

About the Company

At Hudson River Trading (HRT) we are mathematicians, computer scientists, statisticians, physicists and engineers. We research and develop automated trading algorithms using advanced mathematical techniques. We have built one of the world's most sophisticated computing environments, and our researchers are at the forefront of innovation in the world of algorithmic trading.

HRT’s founding partners graduated from Harvard and MIT with degrees in computer science and mathematics, and founded HRT in 2002. Armed with programming skills and sharp quantitative minds, the founders hypothesized that by applying a fresh take to trading stocks, one that truly leverages the power of technology, they could meaningfully impact a world still dominated by manual operators. Very quickly, their algorithms saw success in the markets and HRT grew from their origins in US equities to a global, multi-asset class trading firm.

Today HRT employs over 800 brilliant minds from a variety of disciplines—from highly technical to deeply mathematical to the liberal arts. We are critical thinkers and eager automators, chasing new solutions to any problem we encounter.

We trade on nearly all of the world’s electronic markets, and are a leading voice for fair and open markets. Our internal code of ethics far exceeds the expectations of the regulatory environment in which we operate. We are conscientious market participants advocating for fair and transparent markets for everyone. This philosophy influences every aspect of our research.

Please be aware that HRT emails will always come from the @hudson-trading.com domain; a genuine offer document will not be signed by a recruiter; and HRT will never request your personal banking information or payment of any kind during the recruitment process. If you have received what you suspect is a fraudulent offer or suspicious communication with HRT, or if you have any questions, please reach out to security@hudson-trading.com.

Listed Jobs

Company background Company brand
Company Name
Hudson River Trading
Job Title
Software Engineering Internship – Summer 2026
Job Description
**Job Title** Software Engineering Internship – Summer 2026 **Role Summary** A full‑time, 8–10 week internship focused on hands‑on software development for algorithmic trading. Interns receive structured training, then transition immediately to independent projects using Python, C, or C++ in a high‑performance computing environment. **Expectations** - Complete a rapid onboarding program covering key engineering practices. - Lead independent programming assignments from design through deployment. - Collaborate with research and trading teams, gaining insight into the organization’s infrastructure. - Participate in code reviews, unit testing, and continuous integration pipelines. - Develop clear documentation and communicate progress to peers and mentors. **Key Responsibilities** - Design, implement, test, and maintain software components in Python, C, or C++. - Optimize code for performance and readability within a distributed system. - Use version control (Git) and adhere to coding standards and best practices. - Participate in sprint planning, stand‑ups, and retrospectives. - Troubleshoot production issues and contribute to system reliability. - Document code, architecture decisions, and testing procedures. **Required Skills** - Proficiency in Python, C, or C++ (minimum working knowledge of all three). - Strong problem‑solving and algorithmic thinking. - Ability to write clean, efficient, and maintainable code. - Effective written and verbal communication. - Self‑starter with ability to work independently and in team settings. - Familiarity with Git, unit testing frameworks, and CI/CD pipelines. **Required Education & Certifications** - Full‑time undergraduate student in Computer Science or related field. - Eligible for a full‑time role in 2027. ---
New york, United states
On site
01-10-2025
Company background Company brand
Company Name
Hudson River Trading
Job Title
Systems Engineer - Enterprise Technology
Job Description
**Job Title:** Systems Engineer – Enterprise Technology **Role Summary:** Design, develop, and maintain productivity tooling and integration solutions for enterprise SaaS applications, IAM, and cross‑system workflows. Administer platforms such as Slack, Google Workspace, and Okta, and automate employee lifecycle processes across LDAP, SSO, and SCIM. **Expactations:** - 5+ years of systems engineering or related experience. - Strong proficiency in Python for building tools and services. - Proven ability to manage SaaS integrations, handle escalations, and document architecture. - Effective communication with technical leads and non‑technical stakeholders. **Key Responsibilities:** - Create and maintain automation tools supporting IT and internal teams. - Integrate, monitor, and troubleshoot enterprise SaaS applications (Okta, Google Workspace, Atlassian, Slack). - Manage user lifecycle processes in LDAP, SSO, and SCIM; implement client‑side SSO integrations. - Document system architecture, processes, and best practices. - Break down complex projects, iterate on solutions, and report progress to stakeholders. **Required Skills:** - Python programming (development of tools/services). - Administration and API integration of SaaS platforms (Okta, Google Workspace, Atlassian, Slack). - Linux command line proficiency and log analysis. - Knowledge of authentication/provisioning protocols: SAML, OIDC, SCIM, API‑based workflows. - Familiarity with IaC/configuration management tools (Terraform, SaltStack) – preferred. - Experience with Linux systems administration – preferred. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent practical experience). - Relevant certifications (e.g., Okta Certified Administrator, Terraform Associate) are a plus but not mandatory.
London, United kingdom
On site
Mid level
12-10-2025
Company background Company brand
Company Name
Hudson River Trading
Job Title
Algorithm Development (Quant Research) PhD Internship – Summer 2026
Job Description
**Job Title**: Algorithm Development (Quant Research) PhD Internship – Summer 2026 **Role Summary**: Intensive summer internship for full‑time PhD students to research, develop, and implement automated trading strategies across multiple global markets. Collaborates with research and technology teams to translate academic research into real‑world trading solutions using proprietary Python/C++ infrastructure. **Expectations**: - Apply advanced research to solve trading challenges. - Build predictive models using market and non‑market data. - Conduct quantitative research, data analysis, and simulations on large datasets. - Participate in tech talks, mentorship, and cross‑team rotations. **Key Responsibilities**: - Design, prototype, and validate algorithmic trading models. - Integrate machine learning and time‑series techniques to uncover market insights. - Utilize industry‑grade compute cluster for large‑scale simulation and data crunching. - Collaborate with researchers and technologists to refine strategies. - Communicate findings and results to stakeholders. **Required Skills**: - Fluency in Python (Pandas, NumPy, scikit‑learn). - Strong statistical analysis and numerical programming experience. - Familiarity with R and/or MATLAB. - Knowledge of machine learning, time‑series analysis, and predictive modeling. - Excellent written and verbal communication. **Required Education & Certifications**: - Current full‑time PhD student in quantitative discipline (Mathematics, Physics, Computer Science, Statistics, Operations Research, Machine Learning, etc.). - Expected graduation 2027 or 2028.
London, United kingdom
On site
29-10-2025
Company background Company brand
Company Name
Hudson River Trading
Job Title
Algorithm Development (Quant Research) Internship – Summer 2026
Job Description
Job Title: Algorithm Development (Quant Research) Internship – Summer 2026 Role Summary: Internship focused on developing and optimizing automated trading strategies through quantitative research and advanced modeling. Interns rotate across high‑frequency, multi‑frequency, and machine learning teams, applying statistical and machine learning techniques to large financial datasets using Python/C++. Expactations: - Full‑time undergraduate, master’s, or PhD student in a quantitative discipline (mathematics, physics, computer science, statistics, or related field). - Eligible for a full‑time role in 2027. - Strong programming experience in Python (mandatory); C++ preferred for high‑frequency work. - Proficiency in statistical analysis, numerical programming, or machine learning using Pandas, NumPy, R, or MATLAB. - Ability to apply quantitative models to real‑world market data. - Effective written and verbal communication skills. Key Responsibilities: 1. Conduct quantitative research and data analysis on market behavior. 2. Develop predictive models for financial markets using market and non‑market data. 3. Write and optimize code in Python; contribute to C++ components where applicable. 4. Run simulations and perform data crunching on a world‑class compute cluster. 5. Collaborate closely with researchers, traders, and developers on impactful projects. 6. Participate in tech talks, mentorship sessions, and project reviews. Required Skills: - Python programming (mandatory); C++ (plus). - Familiarity with Pandas, NumPy, and statistical/machine‑learning libraries. - Experience with large‑scale data analysis, time‑series techniques, and machine learning. - Knowledge of quantitative modeling and numerical methods. - Strong analytical problem‑solving abilities. - Excellent communication and teamwork. Required Education & Certifications: - Current full‑time enrollment in an undergraduate, master’s, or PhD program in mathematics, physics, computer science, statistics, or a related quantitative field. - No specific certifications required; proficiency in relevant programming languages and analytical tools is essential.
London, United kingdom
On site
29-10-2025