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Symbiotic

Trading & Onchain Data Analyst

NEW
UK, Dubai, France, ...Full-timeGlobal
šŸ  Remote
ActivePosted within the last 30 days

Job Description

[AI-summarized by JobStash]

You will analyze on-chain trading activity and market data at scale to understand user behavior, capital flows, liquidity dynamics, and protocol performance. You will model trading and portfolio behavior (positions, fees, PnL, capital efficiency, APR/APY), extract and structure DEX and CEX data, and build AI-driven research pipelines that automate trading analysis and performance tracking. You will translate complex market data into actionable insights and collaborate with product, engineering, and business teams to inform incentives, liquidity design, and capital allocation decisions.

Requirements

  • ā—Web3/crypto experience required
  • ā—Strong background in financial markets data and/or trading with understanding of portfolio management, liquidity, market structure, and risk
  • ā—Strong data analysis background and experience working with large, complex trading datasets
  • ā—Understanding of DEX and CEX mechanics including AMMs, order books, liquidity provision, incentives, and fee structures
  • ā—Power user of Dune with ability to write and optimize complex SQL queries
  • ā—Proficiency in SQL and Python and hands-on experience using pandas or similar frameworks for portfolio, PnL, and performance analysis
  • ā—Experience working with LLMs and AI-driven research tools to accelerate modeling and workflow automation
  • ā—Ability to operate in a fast-moving, ambiguous environment and take ownership from hypothesis to final insight
  • ā—Nice to have: experience in data engineering, backend systems, smart contracts (Solidity), or machine learning
  • ā—Nice to have: experience building data pipelines or trading analytics infrastructure

Responsibilities

  • ā—Analyze on-chain trading activity at scale to understand user behavior, capital flows, liquidity dynamics, and protocol performance across smart contracts and blockchain networks
  • ā—Model addresses trading activities and portfolio behavior including positions, fees, PnL, capital efficiency, APR/APY, and impermanent losses using on-chain and market data
  • ā—Extract and structure DEX and CEX data, integrating trade-level, liquidity, and pricing data to evaluate execution quality, market structure, and user strategies
  • ā—Query and combine internal and external data sources (e.g., Dune, internal warehouses, APIs, exchange data) to build reliable datasets for research and decision-making
  • ā—Conduct market-focused research on liquidity design, incentive structures, token emissions, staking models, and competitive positioning across protocols
  • ā—Design and build AI-driven research pipelines that integrate on-chain data, market data, and LLMs to automate trading analysis, performance tracking, and recurring business workflows
  • ā—Translate complex market data into actionable insights to support product decisions around incentives, liquidity growth, risk, and capital allocation
  • ā—Collaborate with product, engineering, and business teams to evaluate strategy, optimize capital efficiency, and improve trading-related metrics

Benefits & Perks

  • ā—Fully remote

Tech Stack

machine learningpandasmarket structureDuneAMMonchain dataSoliditydata pipelinePythonSQL
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