1.54M jobs liveBrowse

Data Strategist at Hudson River Trading · Katori

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 by an applicant 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 by an applicant during an interview or an assessment, we reserve the right to immediately end the interview or assessment, disqualify the applicant’s candidacy and/or rescind any job offers extended.

You can review our Global Applicant Privacy Notice, which explains how we process applicant information.

Data Strategist

Data Strategist

Asks for

Values