Back to Search
Overview
Mid-Level

Data Strategist | Broker & Macro Data

Confirmed live in the last 24 hours

Jump Trading

Jump Trading

Compensation

$225,000 - $250,000/year

New York
On-site
Posted April 13, 2026

Job Description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

 

As a Data Strategist within our Data Strategy Group, you will be part of a team that is responsible for finding, validating and increasing the overall awareness and effectiveness of external datasets as it relates to trading at Jump. The ideal candidate will thrive in connecting business objectives with data-driven solutions, ensuring data is leveraged effectively to deliver insights, drive alpha, and sustain a competitive advantage. For this role, we are looking for someone to own and evolve our broker data relationships as well as support our macro-sourcing efforts.

 

What You’ll Do:

  • Own and evolve Jump’s broker data landscape. Serve as the primary point of contact for a network of brokers and research providers, managing and growing those relationships to maximize value from each partnership.
  • Lead endtoend discovery, evaluation, commercial negotiation, and onboarding of new broker datasets, coordinating closely with Legal, Compliance, Technology, and investment teams.
  • Contribute to a broader understanding of the sellside landscape, including emerging content offerings, product updates, and market developments.
  • Support the macro sourcing efforts by working directly with researchers and other members of the Data Strategy team to translate their needs into concrete data requirements and communicate dataset availability, scope, and limitations.
  • Leverage your data domain expertise and technical skills to perform in-depth assessments of data sets with a focus on data integrity, coverage and differentiation.
  • Create and cultivate relationships with vendors to proactively identify and capitalize on emerging data opportunities that drive strategic advantages.

 

Skills You'll Need:

    goaidataanalyticsproductdesign