Full-Time

Margins and Collateral Specialist

Updated on 9/4/2026

Hudson River Trading

Hudson River Trading

501-1,000 employees

Proprietary algorithmic, high-frequency trading for institutions

Compensation Overview

$100k - $130k/yr

+ Performance-based bonus

New York, NY, USA

In Person

Category
Finance & Banking (1)
Required Skills
Python
SQL

Get referred to Hudson River Trading

See people who can refer or advise you

Requirements
  • Three to five years of experience in a collateral, margin, or treasury function.
  • Strong understanding of margining practices and products, including over-the-counter derivatives, futures, and cleared swaps.
  • Ability to design and optimize tools in close collaboration with engineering teams.
  • Familiarity with SQL and/or Python is a plus.
  • Ability to communicate clearly, document work, and collaborate cross-functionally.
Responsibilities
  • Execute daily collateral functions involving margin data management, margin reconciliation, and dispute handling.
  • Partner with internal stakeholders to support margin replication, cost-of-capital analytics, and reconciliation workflows.
  • Architect and maintain a centralized margin and collateral data platform for storing external margin data.
  • Document and maintain margin mappings and controls.
  • Support onboarding of new counterparties and ensure data integration aligns with system architecture.
  • Stay informed about evolving margin models and broker reporting practices and translate them into scalable internal systems.
Desired Qualifications
  • Familiarity with SQL and/or Python.

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

Get referred to Hudson River Trading

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 2026 trading revenue hit $11.4 billion, signaling extraordinary monetization.
  • HRT opened 2026 roles for AI researchers and low-level engineers in London and New York.
  • May 20, 2026 Lambda contract secured 1,000-plus Nvidia Blackwell systems for HRT.

What critics are saying

  • Jane Street's April 24, 2026 $40 billion haul shows HRT faces a brutal arms race.
  • SEC comment activity on August 17, 2026 signals regulatory scrutiny around locked and crossed markets.
  • Heavy reliance on expensive AI compute turns one technology reset into an existential margin collapse.

What makes Hudson River Trading unique

  • HRT blends market-making, proprietary AI labs, and custom GPU clusters across assets.
  • August 20, 2026 CoreWeave deal scaled HRT's AI research infrastructure for trading models.
  • HRT provides liquidity directly to clients worldwide, unlike pure prop rivals.

Help us improve and share your feedback! Did you find this helpful?

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

Logos Press
Sep 6th, 2026
25-year-old British entrepreneur becomes Europe's youngest self-made billionaire with $3B AI chip startup

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.

Gimlet Labs
Sep 4th, 2026
Announcing Gimlet's Series B

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.

Traders Union
Aug 3rd, 2026
Olix raises $312M at $3.3B valuation to challenge Nvidia with photonic AI chips

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.

EIN Presswire
May 28th, 2026
Gray Swan raises $40M Series A to scale AI security platform trusted by Anthropic, OpenAI and Meta

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.

TechCrunch
Mar 10th, 2026
AI networking startup Eridu emerges from stealth with $200M Series A

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.