Data Scientist Intern
About the job
- Be a full-time student pursuing a degree in a STEM field; a computer science background is not required.
- Have programming experience with Python at the level of “Python for Data Analysis” by Wes McKinney.
- Have curiosity about working with data and finding insights.
- Have exceptional attention to detail.
- Have strong communication skills.
- Normalize and validate vendor data.
- Extract features from quantitative and textual data.
- Apply rigorous quality checks.
- Investigate methodologies for providing the highest quality data for research and trading.
- Conduct independent data investigation projects using Python and open-source libraries such as pandas and polars.
- Participate in technical project work and learn about the firm’s research and trading infrastructure and global financial markets.
- Independent data projects or Kaggle competitions are a plus.
About the company
Hudson River Trading buys and sells financial products through automated models, supplying liquidity that lets other market participants trade on exchanges and directly with the firm. Its business spans equities, futures, options, currencies, and fixed income, with research rooted in mathematics and computer science. Researchers develop and test trading strategies against market data, while engineers build the computing systems that run those strategies and manage their risks. The firm earns income from its trading activity across these markets, with teams combining quantitative research and trade execution. Hudson River Trading was founded in 2002 and is headquartered in New York City.
Company Size
1,001-5,000
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
- Researchers gain planned compute capacity: HRT announced an August 2026 CoreWeave agreement covering NVIDIA Vera Rubin and Blackwell systems.
- Employees avoid medical premiums: HRT says it pays medical and dental coverage across its global offices.
- Investments deepen trading relationships: HRT Ventures supplies growth capital and stands ready to provide liquidity for portfolio companies.
What critics are saying
- Compute obligations are substantial: HRT's August 2026 CoreWeave agreement spans multiple years and billions of dollars.
- Schedules depend on your team: HRT says some teams require round-the-clock coverage or hands-on maintenance.
- Research gains are difficult to prove: HRT's AI researcher describes biased backtests and small differences in noisy trading data.
What makes Hudson River Trading unique
- HRT owns its research storage stack: its Blobby filesystem addresses workloads measured in hundreds of petabytes.
- Researchers share technical foundations: HRT describes a common technology platform supporting its open research environment.
- Hardware work reaches chip design: HRT's graduate engineers build programmable chips and custom circuits with nanosecond precision.
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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
PicoJool, a startup backed by former Intel chief executive Pat Gelsinger, has raised $27.5 million in Series A funding to address bandwidth challenges in AI data centres. Socratic Partners led the round, with participation from Hudson River Trading, bringing total funding to $39.5 million. The company develops optical chips based on Vertical Cavity Surface Emitting Laser technology, which transmits data through light signals rather than traditional copper wires. This enables faster, more energy-efficient communication between AI processors in large clusters. PicoJool offers high-speed 100G and 200G VCSEL products, with its MicroVCSEL platform providing up to 3.2 terabits per second of bandwidth. The funding will support commercialisation efforts, including mass production preparation with WIN Semiconductors and expansion of US and Taiwan teams. Gelsinger noted that connectivity has become a defining constraint on AI performance globally.
Polaris Electro-Optics has raised $50 million in Series B funding led by Walden Catalyst Ventures to commercialise its FenGlass electro-optic modulator platform for AI infrastructure. New investors include Socratic Partners, Cambium Capital, Knollwood, and Hudson River Trading, alongside existing backers Koch Disruptive Technologies, M Ventures, and others. The California-based startup addresses data movement bottlenecks in AI workloads by enabling 400 Gbps per lane optical interconnects. Its proprietary ferroelectric nematic glass integrates directly onto silicon photonic wafers using standard manufacturing processes, eliminating trade-offs between manufacturability, reliability, and bandwidth. Polaris has completed critical reliability tests and validated compatibility with industry packaging standards. The company targets its first product launch for 2027, partnering with optical module makers and cloud infrastructure providers. Founded in 2021 as a University of Colorado Boulder spinout, Polaris operates facilities in Carlsbad and Boulder.
Positron AI has raised $875 million at a $5 billion valuation to fund its next-generation AI inference hardware. The Series C round was co-led by NEA, Atreides Management, Valor Equity Partners, Andra Capital, SemiAnalysis Capital, and Silicon Graphics founder Jim Clark. The company builds memory-first inference systems designed to run AI models more efficiently than traditional approaches. Positron is deploying over 50 racks of its first-generation Atlas system at Oracle Cloud Infrastructure, with customers including Jump Trading and i3d.net. The funding will support the tapeout of Asimov, Positron's next chip on TSMC's N3P process, scheduled for late 2026 with production in second-half 2027. It will also fund production of Titan, its next-generation system combining multiple Asimov chips. The architecture uses commodity LPDDR5X memory rather than constrained HBM supply chains.
James Dacombe, a 25-year-old British entrepreneur, has become Europe's youngest self-made billionaire after his AI chip company Olix raised funding at a valuation exceeding $3 billion. This nearly tripled the company's $1 billion valuation from February, when it secured $220 million. Dacombe, who began programming at 13 without formal training, left school as a teenager with support from the Thiel Fellowship. He founded CoMind in 2017-2018, developing non-invasive brain monitoring technology. The startup raised $60 million in 2025, bringing total funding to $102.5 million. Launched in 2024, Olix develops specialised chips for AI inference. Investors include Arm, Netflix co-founder Reed Hastings, and the British Sovereign AI Fund. Commercial chip shipments are expected by late 2027.
Today, we are announcing our $300M Series B raise, led by Andreessen Horowitz and joined by Sapphire Ventures, Menlo Ventures, 645 Ventures, Arm, Eclipse, Emergence, Factory, Hudson River Trading, M12, OnePrime Capital, Prosperity7, QuantumLight, Samsung Ventures, Tiger Global Management, Triatomic, Wing Ventures, and XTX Markets.