Algorithm Development (Quant Research & Trading) PhD Internship – Summer 2027
Hudson River Trading·Singapore·Hedge Fund & Quant
Hudson River Trading is hiring a Algorithm Development (Quant Research & Trading) PhD Internship – Summer 2027 in Singapore. Posted 2026-07-18; applications close 2026-09-16 (in 56 days).
Role details
Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development summer internship program. Algorithm Developers focus on the research and implementation of automated trading strategies.
HRT trades on more than 200 markets around the world across a variety of time horizons, offering opportunities to explore innovative, self-guided research and make a meaningful impact on the business. During this internship, you will rotate across teams and learn and collaborate with researchers and technologists who apply their expertise to solve nuanced problems in algorithmic trading.
Application note: HRT does not allow multiple applications. Please apply to the ONE role you are most interested in; your application will be considered for all open positions when reviewed.
What to Expect
- Use advanced research experience to apply academic research to impactful, real-world trading problems across time horizons and machine learning strategies
- Leverage proprietary infrastructure (Python/C++) along with third-party tools to conduct quantitative research and data analysis
- Use machine learning and time series techniques to derive novel insights on market behavior from large, complex datasets
- Utilize an industry-leading compute cluster to run simulations and process data
- Build predictive models for financial markets using a combination of market and non-market data
- Attend and participate in Tech Talks covering markets and HRT’s trading philosophy
- Participate in a summer curriculum that includes speakers, trading games, mentorship, and social events
Qualifications
- Full-time PhD student in a quantitative discipline (e.g., math, physics, computer science, statistics, operations research, machine learning) with a planned graduation timeline of 2028 or 2029
- Fluency in Python is required
- Experience with statistical analysis, numerical programming, or machine learning in Python (including Pandas/NumPy), and/or R, and/or MATLAB
- Strong communication skills
- Excitement to apply research expertise to identify new opportunities in worldwide markets
Compensation
HRT offers a weekly base salary plus a competitive signing bonus, company-paid housing, meals, and other perks.
- New York: Weekly base salary of 5,800 USD
- Singapore: Weekly base salary of 7,650 SGD
Culture
HRT brings a scientific approach to trading financial products, with one of the world’s most sophisticated computing environments for research and development. Researchers are at the forefront of innovation in algorithmic trading.
HRT welcomes a variety of expertise, including mathematics and computer science, physics and engineering, and media and tech. The company is a community of self-starters motivated by the excitement of automation across the organization—from trading to business operations to recruiting. HRT celebrates great ideas from both experienced team members and new hires.
At HRT, colleagues are friends—sharing meals, playing board games, and writing elegant code. The culture of togetherness extends beyond the office, with a global, diverse team and valued perspectives from around the world.
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Applying to this role
This Algorithm Development (Quant Research & Trading) PhD Internship – Summer 2027 role at Hudson River Trading runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.
Jorb AI tracks details for Algorithm Development (Quant Research & Trading) PhD Internship – Summer 2027 at Hudson River Trading. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-07-21.
