Hudson River Trading

Data Strategist

Hudson River Trading  •  $150k - $250k/yr  •  New York City, NY (Onsite)  •  6 hours ago
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Job Description

Hudson River Trading (HRT) is seeking a Data Strategist to identify, evaluate, and acquire differentiated datasets that support quantitative research and systematic trading.

The role requires strong judgment around data sources, use cases, and sourcing channels, as well as a deep understanding of provider and industry ecosystems.You will work closely with vendors, brokers, exchanges, and other counterparties to uncover useful datasets, assess their relevance, and drive commercial discussions. The ideal candidate is highly curious, commercially minded, and excited by the opportunity to discover new sources of value across both established and less obvious channels.

Responsibilities

  • Identify, evaluate, and acquire differentiated datasets from vendors, brokers, exchanges, and other counterparties
  • Proactively hunt for new data sources, relationships, and content that may create value
  • Build and develop a network of relationships with data providers and other market participants
  • Lead commercial discussions and data agreement negotiations
  • Collaborate with research and technology teams to assess dataset fit and value
  • Drive ongoing data sourcing initiatives in priority domains, developing expertise in providers, use cases, gaps, and opportunities

Qualifications

  • 3+ years of experience in data sourcing, market data, broker data, quantitative research data, vendor management, or a related role
  • Strong understanding of data sources, dataset evaluation, and how data can be used in a quantitative research or systematic trading context
  • Experience working with external counterparties and internal research, legal, business, and technology teams
  • Meticulously detail-oriented, with the ability to work independently in a fast-paced environment
  • Strong analytical, problem-solving, and communication skills
  • Strong data analysis skills, including proficiency with Python, SQL, or similar tools is a plus

The estimated base salary range for this position is $150,000 - 250,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

Hudson River Trading

About Hudson River Trading

At Hudson River Trading (HRT) we are mathematicians, computer scientists, statisticians, physicists and engineers. We research and develop automated trading algorithms using advanced mathematical techniques. We have built one of the world's most sophisticated computing environments, and our researchers are at the forefront of innovation in the world of algorithmic trading.

HRT’s founding partners graduated from Harvard and MIT with degrees in computer science and mathematics, and founded HRT in 2002. Armed with programming skills and sharp quantitative minds, the founders hypothesized that by applying a fresh take to trading stocks, one that truly leverages the power of technology, they could meaningfully impact a world still dominated by manual operators. Very quickly, their algorithms saw success in the markets and HRT grew from their origins in US equities to a global, multi-asset class trading firm.

Today HRT employs over 800 brilliant minds from a variety of disciplines—from highly technical to deeply mathematical to the liberal arts. We are critical thinkers and eager automators, chasing new solutions to any problem we encounter.

We trade on nearly all of the world’s electronic markets, and are a leading voice for fair and open markets. Our internal code of ethics far exceeds the expectations of the regulatory environment in which we operate. We are conscientious market participants advocating for fair and transparent markets for everyone. This philosophy influences every aspect of our research.

Please be aware that HRT emails will always come from the @hudson-trading.com domain; a genuine offer document will not be signed by a recruiter; and HRT will never request your personal banking information or payment of any kind during the recruitment process. If you have received what you suspect is a fraudulent offer or suspicious communication with HRT, or if you have any questions, please reach out to security@hudson-trading.com.

Industry
Finance & Insurance
Company Size
1,001-5,000 employees
Headquarters
New York, NY
Year Founded
2002
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