Summer 2027
Algorithm Development Intern
Quant Research & Trading
Updated on 8/4/2026
Hudson River Trading
501-1,000 employees
Proprietary algorithmic, high-frequency trading for institutions
Compensation Overview
$108.75 - $191.25/hr
London, UK + 1 more
More locations: New York, NY, USA
Remote
Bachelor's, Master's
 Quantitative Finance (1) |
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- Be a full-time undergraduate or master's student in a quantitative discipline such as mathematics, physics, computer science, statistics, or a related program.
- Have programming experience in Python.
- Have experience with statistical analysis, numerical programming, or machine learning using Python, Pandas, NumPy, R, and/or MATLAB.
- Apply quantitative models and technology to real-world problems.
- Have strong communication skills.
- Conduct quantitative research and data analysis using proprietary Python and C++ infrastructure and third-party tools.
- Use machine learning and time series techniques to derive insights about market behavior from large and complex datasets.
- Collaborate on projects with experienced researchers, traders, and developers.
- Run simulations and process data using the compute cluster.
- Build predictive models for financial markets using market and non-market data.
- Attend and participate in technology talks covering markets and the firm's trading philosophy.
- Participate in the summer curriculum, including speakers, trading games, mentorships, and social events.
- Experience with C++ for candidates interested in low-latency trading.
What Hudson River Trading does: It uses computer-based trading to buy and sell financial instruments for institutional clients, using its own private algorithms and fast computers to trade in global markets. How its products work: The firm designs mathematical models and software that scan market data and place many trades in milliseconds. It aims to earn small profits on a huge number of trades by moving quickly and reacting to price changes across asset classes worldwide. How it differs from competitors: HRT relies on in-depth research and proprietary algorithms, large-scale computing, and a global network of offices to trade across many markets. This combination helps it stay competitive against other high-frequency trading firms and banks. What its goal is: To generate reliable revenue by executing a high volume of fast trades while continually improving its models and technology through ongoing research and development.
Company Size
501-1,000
Company Stage
Debt Financing
Total Funding
$630M
Headquarters
New York City, New York
Founded
2002
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Simplify's Take
What believers are saying
- Bloomberg reported Q1 2026 revenue rose 135% year over year, crushing 2025 totals.
- HRT named Lawrence Tan Asia-Pacific head in February 2026, signaling continued regional expansion.
- HRT opened dozens of 2026 roles, including AI, GPU reliability, and compliance hires.
What critics are saying
- Jan. 26, 2026 layoffs show even HRT trims teams when returns wobble.
- Regulators are tightening trading-firm rules in India and Britain, threatening strategy economics.
- Citadel Securities and Jane Street outscale HRT, squeezing margins and talent through 2026.
What makes Hudson River Trading unique
- HRT’s 2026 trading engine printed $6.4 billion Q1 revenue on volatility.
- Its multi-asset, global footprint spans New York, London, Singapore, Shanghai, Mumbai, and beyond.
- HRT hires mathematicians and engineers, not brokers, building proprietary algorithms and infrastructure.
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Benefits
Dental, Vision, Disability, Health, Life, and Supplemental Life Insurance
Flexible Spending Account
Health Savings Account
401(k)
Paid Time Off
Free lunch or snacks
Gym membership
Company News
London-based AI chip developer Olix has raised $312 million in a funding round led by New York investment firm Fundomo, with participation from Arm, Hudson River Trading, and Netflix co-founder Reed Hastings. The round values the company at $3.3 billion, up from just over $1 billion in February. Founded in 2024 by James Dacombe, Olix plans to tape out its chips later this year and deliver first products to customers in 2025. The company employs over 140 staff across London, Bristol, Toronto, and Austin. Olix differentiates itself with a photonic interconnect that uses lasers to move data between chip clusters with greater energy efficiency. The company also avoids scarce semiconductor components and uses proprietary AI tools to accelerate development, including work on its compiler. Matt Briers, former CFO at fintech Wise, joins as chief financial officer.
Gray Swan, an AI security company born from Carnegie Mellon University research, has raised $40 million in a Series A round co-led by Wing Venture Capital and Madrona. Obvious Ventures, Snowflake Ventures, Hudson River Trading, Samsung Next and Magarac Venture Partners also participated. The company, founded by Matt Fredrikson and Zico Kolter, provides security platforms for AI models and agents. Gray Swan is cited in 11 recent frontier model system cards from Anthropic, OpenAI and Meta, and its benchmarks are embedded in safety evaluation processes for advanced AI models. The platform includes three components: Cygnal for real-time AI protection, Shade for automated adversarial testing, and Arena, a global red-teaming network with over 15,000 researchers. Gray Swan works with over 20 customers and has partnered with Snowflake to integrate its security capabilities.
AI networking startup Eridu has emerged from stealth with a $200 million Series A round led by Socratic Partners, John Doerr, Matter Venture Partners and others, bringing total funding to $230 million. The oversubscribed round values the company comparably to other large Series A deals, though CEO Drew Perkins declined to confirm unicorn status. Founded in 2024 by networking veterans Drew Perkins and Omar Hassen, Eridu is developing new silicon and systems designed specifically for AI data centres. The company aims to replace traditional tiered optical connections with on-chip communications, reducing latency and power consumption whilst improving reliability. Perkins previously co-founded Lightera Networks, Infinera and Gainspeed, companies that collectively generated over $2.7 billion in exits. Other investors include Hudson River Trading, Capricorn Investment Group, TSMC's VentureTech Alliance and MediaTek.
Alphacution Press: Hudson River mints billions in the shadow of Jane Street and Citadel Securities. December 2nd, 2025 | Press Alphacution quoted in Bloomberg's December 1, 2025 article ($) by Katherine Doherty on how, apparently, Hudson River Trading is competing with the likes of Jane Street and Citadel Securities by slowing its trading down, among other explorations, such as options trading. "The biggest and the best prop firms, the ones making all the waves and money, are huge in options," said Paul Rowady, founder and director of research at Alphacution. "HRT hasn't traded options to the same scale. They realize the opportunity." See Feed post, "Hudson River Finally Sets a Hook" (Oct 31, 2025) and our case study, "Rise of Hudson River Trading" (Jan 23, 2021)
Hudson River Trading and several major Wall Street financial giants have signed a strategic partnership agreement to actively develop the Asia-Pacific financial market.