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Data Lead

Risk Labs10 days ago
Remote
United States, Canada, Europe, United Kingdom
$100,000 - $200,000/yearly
Senior Level

Top Benefits

Flexible Working Environment
Unlimited PTO
Family Care Leave

About the role

Who you are

  • You’re someone who can balance precision with a desire to move fast and learn along the way
  • 5+ years experience in advanced data/analyst roles in related industries, with a preference for at least 2 years leading the function/team
  • Mastery of SQL and Python; strong experience in data modeling, ETL or data pipeline scripting, and business-intelligence/dashboard tools
  • Demonstrated ability to craft the right analytical questions, think critically, balance speed versus depth, and deliver insights that drive measurable business outcomes
  • Outstanding critical thinking skills; low ego, high curiosity and comfort in being wrong
  • Excellent organizational skills, attention to detail, and time management
  • Excellent collaboration and communication skills
  • We’re looking for forward-thinking individuals who are curious about, comfortable with, and eager to adapt to the evolving role of AI in modern work
  • Deep industry insight with a solid understanding of crypto markets, DeFi, interoperability challenges, and the ability to weave these into analytics

What the job involves

  • The Data Lead’s work will span both Across and UMA. This role demands strategic data leadership combined with a love for being hands-on in the data–working directly with data, analyzing it through the lens of deep product knowledge and industry insight
  • Beyond delivering actionable analyses, you will partner closely with product teams to surface key trends, identify optimizations, and proactively address potential issues before they ripple through the market
  • As the lead, you’ll take initiative and be excited about carving your own path with an incredibly talented and thoughtful team to work alongside
  • Analytics Leadership & Insight: Drive the analytics agenda by applying a product mindset to identify and prioritize the most impactful product and business questions, independently performing deep, hands-on analyses, and delivering dashboards and reports that shape strategic decisions
  • Data Pipeline Integration & Modeling: Collaborate closely with data engineering to onboard and model new data sources. Write SQL/Python (or similar) scripts to source, extract, clean and optimize analytics-ready data for downstream uses–balancing rigor with speed
  • Cross-Functional Influence: Act as the analytics partner for Product, Engineering, and company leadership, surfacing trends, anomalies, and opportunities early, and translating data into clear, actionable recommendations
  • Data Stewardship & Optimization: Ensure the data leveraged for analytics is accurate, well-structured, and aligned with business priorities, focusing effort where it drives the most impact
  • Domain Expertise: Leverage deep understanding of crypto, DeFi, interoperability to contextualize data, anticipate emerging trends, and convert historical insights into forward-looking recommendations
  • Our tech stack: BigQuery, Preset/Superset, Python, dbt, Airflow, Typescript,Node.js, Solidity, viem, React, ethers

Benefits

  • Flexible Working Environment
  • Unlimited PTO
  • Family Care Leave
  • Yearly Team Off-Site
  • Training & Development

About Risk Labs

IT Services and IT Consulting
1-10

Our work spans the intersection of machine learning and banking, including both theoretical and applied system aspects.