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SYSymbiotic

Trading & Onchain Data Analyst(m/w/x)

Zürich
Full-timeRemoteExperienced
AI/ML
Data Science

Analyzing large-scale on-chain trading activity and modeling address-level portfolio behavior for a universal staking protocol. Experience with large complex trading datasets and Dune/SQL power user expected. Direct work with specialized on-chain data infrastructure.

Requirements

  • Background in financial markets or trading
  • Experience with large complex trading datasets
  • Understanding of DEX and CEX mechanics
  • Power user of Dune and SQL
  • Proficiency in SQL, Python, and pandas
  • Ability to derive structured market insights
  • AI-native workflow using LLMs
  • Ownership in fast-moving ambiguous environments
  • Experience in software development or engineering
  • Experience building data pipelines or infrastructure
  • Experience with smart contracts or DeFi
  • Collaboration with product or trading teams

Tasks

  • Analyze large-scale on-chain trading activity
  • Model address-level portfolio behavior and performance
  • Extract and structure DEX and CEX data
  • Integrate trade-level, liquidity, and pricing data
  • Query internal and external data sources
  • Build reliable datasets for research
  • Research liquidity design and incentive structures
  • Evaluate protocol positioning and staking models
  • Design AI-driven research and automation pipelines
  • Translate complex data into actionable insights
  • Support product decisions regarding capital allocation
  • Collaborate with teams to optimize trading metrics

Work Experience

  • approx. 1 - 4 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Dune
  • SQL
  • Python
  • pandas
  • LLMs
  • Solidity
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