Hudson River Trading (HRT) has officially opened applications for its 2027 student opportunities, including summer internships, PhD internships, and full-time graduate roles across several global offices.
Students interested in software engineering, quantitative research, mathematics, computer science, and high-performance computing now have an exciting opportunity to launch their careers with one of the world’s leading quantitative trading firms.
Known for combining cutting-edge technology with mathematical research, HRT offers students the chance to work on real-world trading systems that operate at extraordinary speed and scale. Rather than requiring a traditional finance background, the firm actively seeks exceptional engineers, programmers, mathematicians, and analytical problem-solvers who are passionate about tackling complex technical challenges.
Whether you’re an undergraduate, master’s student, PhD candidate, or graduating in 2027, these opportunities provide hands-on experience, mentorship, and exposure to one of the most innovative sectors in technology and finance.
Founded in 2002, Hudson River Trading (HRT) is a global quantitative trading firm that uses advanced mathematics, computer science, machine learning, and engineering to develop automated trading strategies across financial markets.
The company provides liquidity in multiple asset classes and has built one of the world’s most sophisticated research and trading infrastructures. Its teams include software engineers, quantitative researchers, hardware engineers, mathematicians, physicists, and computer scientists who work together to solve highly complex computational problems.
With offices across North America, Europe, and Asia-Pacific, HRT continues to attract top technical talent from leading universities worldwide.
Why Consider an Internship at HRT?
HRT internships are designed to provide students with meaningful, hands-on experience rather than observational learning.
Interns contribute directly to production systems, collaborate with experienced mentors, and solve real engineering and quantitative research challenges from the beginning of the programme.
Participants can expect to:
- Work on real-world software engineering projects.
- Build quantitative models for automated trading.
- Learn from experienced engineers, traders, and researchers.
- Develop advanced programming and analytical skills.
- Gain exposure to large-scale distributed systems.
- Participate in technical workshops and professional development activities.
- Build lasting professional networks.
The company also offers an engaging social programme that allows interns to experience the cities where they are based.
Summer 2027 Internship Opportunities
HRT is currently recruiting students for several internship programmes.
Software Engineering Internship
The Software Engineering Internship is designed for students graduating in 2028.
Interns will work on critical infrastructure supporting HRT’s global trading and research environment using technologies such as C++ and Python.
Responsibilities include:
- Building software used in live trading systems.
- Developing scalable infrastructure.
- Improving research tools.
- Working alongside experienced software engineers.
- Solving complex performance and systems engineering problems.
Algorithm Development Internship
Students interested in quantitative research can apply for the Algorithm Development Internship.
Working closely with mentors, interns will:
- Apply mathematical and statistical modelling techniques.
- Analyse financial market data.
- Develop predictive trading models.
- Build software supporting automated trading strategies.
- Explore machine learning applications within quantitative finance.
The internship is ideal for students with strong backgrounds in mathematics, statistics, computer science, physics, or related STEM disciplines.
Algorithm Development PhD Internship
HRT also offers a specialised internship for PhD students.
This programme enables doctoral researchers to apply advanced academic research to real-world quantitative trading challenges.
Participants will work on:
- Machine learning.
- Quantitative modelling.
- Statistical research.
- Market prediction.
- Trading strategy development.
The programme provides an excellent opportunity to translate cutting-edge academic research into practical industry applications.
Full-Time Graduate Opportunities
Students graduating in 2027 can also apply for full-time positions.
Software Engineer
New graduate Software Engineers help build and maintain the technology powering HRT’s research and live trading systems.
The role involves:
- C++ development.
- Python programming.
- Operating systems.
- CPU architecture.
- Networking infrastructure.
- Performance optimisation.
- Distributed systems engineering.
Graduates receive extensive onboarding and technical training before joining their permanent teams.
Algorithm Developer
Algorithm Developers are responsible for designing and improving quantitative trading models.
Typical responsibilities include:
- Statistical analysis.
- Financial data modelling.
- Quantitative research.
- Predictive analytics.
- Strategy optimisation.
- Programming in C++ and Python.
The role combines mathematics, statistics, computer science, and software engineering to develop sophisticated automated trading strategies.
Internship Locations
Successful applicants may be placed in one of HRT’s global offices.
Available locations include:
Software Engineering Internship
- New York City
- Chicago
- London
- Singapore
Algorithm Development Internship
- New York City
- London
- Singapore
Algorithm Development PhD Internship
- New York City
- London
- Singapore
Full-Time Graduate Roles
Software Engineer and Algorithm Developer positions are available in:
- New York City
- London
- Singapore
Who Should Apply?
HRT encourages applications from students with strong technical and analytical backgrounds.
Ideal candidates are pursuing degrees in fields such as:
- Computer Science
- Software Engineering
- Mathematics
- Statistics
- Physics
- Electrical Engineering
- Machine Learning
- Artificial Intelligence
- Data Science
- Computational Science
- Other STEM disciplines
Importantly, previous experience in financial markets is not required.
The company values curiosity, problem-solving ability, and technical excellence above prior finance knowledge.
Early Talent Programmes
In addition to internships, HRT also offers programmes for students earlier in their academic journey.
Inside HRT
This immersive programme is designed for first- and second-year students pursuing STEM degrees.
Participants gain exposure to:
- Technical workshops.
- Networking opportunities.
- Quantitative trading concepts.
- Career development sessions.
Explore HRT
Designed for students graduating in 2028, Explore HRT provides:
- Technical talks.
- One-on-one mentorship.
- Insight into HRT’s engineering culture.
- Exposure to quantitative trading technologies.
Students interested in future opportunities can also join HRT’s Campus Talent Community to receive updates when applications open.
What Makes HRT Different?
Unlike many firms within the financial sector, Hudson River Trading places a strong emphasis on technical excellence and collaborative problem-solving.
Rather than recruiting only finance specialists, HRT actively seeks talented individuals from STEM backgrounds who enjoy solving challenging computational problems.
Employees work in an environment where engineering, mathematics, and research intersect to build systems capable of processing enormous amounts of market data with exceptional speed and precision.
This interdisciplinary culture makes HRT an attractive destination for students interested in applying advanced technical skills to real-world problems.
Why You Should Apply
For students seeking careers at the intersection of technology, mathematics, and finance, HRT offers one of the most competitive internship and graduate programmes in the industry.
Participants gain practical experience working on production systems, receive mentorship from leading engineers and quantitative researchers, and contribute to innovative projects that have immediate real-world impact.
Whether your passion lies in software engineering, machine learning, algorithms, or high-performance computing, these programmes provide an outstanding opportunity to develop technical expertise while working alongside some of the brightest minds in quantitative trading.
If you are graduating in 2027 or 2028 and enjoy solving complex technical challenges, consider applying for one of Hudson River Trading’s student opportunities.
