Source, evaluate, and procure external datasets to improve trading. Advise traders and researchers on useful data, vet vendors, negotiate contracts, and coordinate Legal, Compliance, Finance, and Data Engineering to bring datasets into production.
About the position
We’re looking for a Data Strategist who can understand the external data landscape, identify datasets that could improve our trading, and procure that data.
You’ll partner closely with traders, researchers, and other colleagues to understand their work, advise them on what data could help, and compare their options. You’ll learn what data exists by attending conferences, following industry developments, meeting vendors, and investigating sources that may hold valuable data even if it isn't yet commercialized.
You’ll manage our vendor relationships to vet promising products, negotiate contract terms, and influence vendor roadmaps, while coordinating with our Legal, Compliance, Finance, and Data Engineering teams to bring datasets into production use.
About you- Professionally experienced with sourcing, evaluating, and procuring datasets
- Analytical, curious, and quick to build expertise in new areas
- Able to build strong relationships with colleagues across the firm and with outside vendors
- Able to manage multiple concurrent projects and context-switch throughout the day
- A strong written and verbal communicator
If you're a recruiting agency and want to partner with us, please reach out to [email protected].
Jane Street New York, New York, USA Office
250 Vesey Street, New York, NY, United States, 10281
Similar Jobs
Energy • Manufacturing • Solar • Renewable Energy
Leads data strategy and large-scale analytics for Gas Power product management. Mines and integrates technical, operational, and financial data; develops predictive models and algorithms; identifies trends and cost-reduction opportunities; and translates insights into operational improvements. Collaborates across engineering, sourcing, IT, supply chain, and operations to improve safety, quality, delivery, cost, product configurability, and customer value while managing complex improvement projects through implementation.
Top Skills:
AlteryxExcelPythonRSQLTableauVBA
Marketing Tech
Advises investment clients on using alternative data to answer investment questions. Leads discovery, designs data use cases, presents findings, translates requirements into technical briefs, coordinates cross-functional projects, and develops expertise in investor workflows and Similarweb data assets. Partners with Go-to-Market, Product, Research, Development, and client technical teams to identify new metrics, datasets, integrations, and roadmap opportunities.
Top Skills:
Ai ToolsAPIsAWSCloud StorageDatabricksGCPModern Data StacksPythonSnowflakeSQL
Financial Services
Lead Principal Investment Risk data strategy, governance, and data-product delivery. Design and operationalize applied AI/ML (LLMs, agents, traditional ML), ensure data quality, lineage, controls, verification/validation, and drive end-to-end production adoption with cross-functional stakeholders.
Top Skills:
Agent Orchestration FrameworksAWSBig Data PlatformsData Governance ToolingData Lineage/Metadata/Catalog ToolsGitLinuxLlm PlatformsObservability ToolingPythonRetrieval-Augmented Generation (Rag)SQLTableau
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
