Data Scout

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 Scout in our Data Strategy Group (DSG), you'll help find, validate and promote the external datasets that power trading and for new data is growing quickly, and your main job will be finding it. You'll map the alternative data landscape, identify new vendors and datasets, and do the first round of vetting, so the team focuses on the most promising opportunities.

Working closely with DSG team members who partner with our researchers, you'll keep a strong, well-qualified pipeline of new data flowing.

• Map the landscape. Track the alternative data market by category (e.g., consumer transactions, web and app activity, geolocation, satellite and shipping, supply chain, sentiment) and stay current on new entrants and consolidation
• Find new vendors. Source datasets through your network, industry events, marketplaces and research, with an eye for early-stage and niche providers
• Vet opportunities. Assess each dataset's viability and potential use cases before it goes to the wider team
• Package and track. Write concise vendor summaries and keep our data catalogue and pipeline current
• Represent Jump externally. Serve as the first point of contact for new vendors and attend industry conferences
• Share insights. Keep the team informed on market trends, emerging categories and gaps in our coverage

• At least 2 - 5 years in the alternative data ecosystem, at a trading firm, hedge fund, data vendor, aggregator or marketplace
• Strong knowledge of alternative data categories and vendors, plus an established network of vendor contacts
• The ability to judge a dataset's quality and coverage from samples or documentation. Proficiency in Excel is required. SQL or Python is a plus
• Familiarity with alternative data compliance issues, including privacy, consent, web scraping and MNPI
• Clear, concise writing
• Excellent organization and follow-through, and comfort working independently

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care options
• Employer Paid Group Term Life and AD&D Insurance
• Voluntary Life & AD&D insurance
• Paid vacation plus paid holidays
• Retirement plan with employer match
• Paid parental leave
• Wellness Programs

Annual Base Salary Range

$150,000—$250,000 USD