[Remote] Trading & Onchain Data Analyst
Note: The job is a remote job and is open to candidates in USA. Symbiotic is a universal staking protocol enabling protocols to streamline decentralizing their stack. They are seeking a Trading & Onchain Data Analyst to analyze on-chain trading activity, model trading behaviors, extract and structure trading data, and collaborate with teams to optimize capital efficiency and trading metrics.
Responsibilities
⢠Analyze on-chain trading activity at scale to understand user behavior, capital flows, liquidity dynamics, and protocol performance across smart contracts and blockchain networks
⢠Model addresses trading activities and portfolio behavior (positions, fees, PnL, capital efficiency, APR/APY, impermanent losses, etc) using on-chain and market data
⢠Extract and structure DEX and CEX data, integrating trade-level, liquidity, and pricing data to evaluate execution quality, market structure, and user strategies
⢠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
⢠Conduct market-focused research on liquidity design, incentive structures, token emissions, staking models, and competitive positioning across protocols
⢠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
⢠Translate complex market data into actionable insights, supporting product decisions around incentives, liquidity growth, risk, and capital allocation
⢠Collaborate with product, engineering, and business teams to evaluate strategy, optimize capital efficiency, and improve trading-related metrics
Skills
⢠You have a strong background in financial markets data and/or trading, with solid understanding of portfolio management, liquidity, market structure, and risk
⢠You have a strong data analysis background and are comfortable working with large, complex trading datasets
⢠You understand both DEX and CEX mechanics, including AMMs, order books, liquidity provision, incentives, and fee structures
⢠You are a power user of Dune, able to independently explore blockchain datasets, write and optimize complex SQL queries, and derive market insights
⢠You're proficient in SQL and Python, with hands-on experience using pandas (or similar frameworks) for portfolio, PnL, and performance analysis
⢠You can move from raw trading data to structured insights on capital efficiency, strategy performance, and protocol dynamics
⢠You work in an AI-native way, leveraging LLMs and modern tools to accelerate research, modeling, and workflow automation
⢠You're comfortable operating in a fast-moving, ambiguous environment, taking ownership from hypothesis to final insight
⢠Experience in software development, such as data engineering, backend systems, smart contracts (Solidity), or machine learning
⢠Experience building data pipelines or trading analytics infrastructure
⢠Hands-on experience interacting with smart contracts or DeFi protocols directly
⢠Experience collaborating closely with product or trading teams on capital strategy and performance optimization
Company Overview
⢠Symbiotic is a generalized shared security system enabling decentralized networks to bootstrap powerful, fully sovereign ecosystems. It was founded in 2023, and is headquartered in Dubai, Dubai, ARE, with a workforce of 11-50 employees. Its website is https://symbiotic.fi.
Company H1B Sponsorship
⢠Symbiotic has a track record of offering H1B sponsorships, with 1 in 2025. Please note that this does not guarantee sponsorship for this specific role.
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Responsibilities
⢠Analyze on-chain trading activity at scale to understand user behavior, capital flows, liquidity dynamics, and protocol performance across smart contracts and blockchain networks
⢠Model addresses trading activities and portfolio behavior (positions, fees, PnL, capital efficiency, APR/APY, impermanent losses, etc) using on-chain and market data
⢠Extract and structure DEX and CEX data, integrating trade-level, liquidity, and pricing data to evaluate execution quality, market structure, and user strategies
⢠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
⢠Conduct market-focused research on liquidity design, incentive structures, token emissions, staking models, and competitive positioning across protocols
⢠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
⢠Translate complex market data into actionable insights, supporting product decisions around incentives, liquidity growth, risk, and capital allocation
⢠Collaborate with product, engineering, and business teams to evaluate strategy, optimize capital efficiency, and improve trading-related metrics
Skills
⢠You have a strong background in financial markets data and/or trading, with solid understanding of portfolio management, liquidity, market structure, and risk
⢠You have a strong data analysis background and are comfortable working with large, complex trading datasets
⢠You understand both DEX and CEX mechanics, including AMMs, order books, liquidity provision, incentives, and fee structures
⢠You are a power user of Dune, able to independently explore blockchain datasets, write and optimize complex SQL queries, and derive market insights
⢠You're proficient in SQL and Python, with hands-on experience using pandas (or similar frameworks) for portfolio, PnL, and performance analysis
⢠You can move from raw trading data to structured insights on capital efficiency, strategy performance, and protocol dynamics
⢠You work in an AI-native way, leveraging LLMs and modern tools to accelerate research, modeling, and workflow automation
⢠You're comfortable operating in a fast-moving, ambiguous environment, taking ownership from hypothesis to final insight
⢠Experience in software development, such as data engineering, backend systems, smart contracts (Solidity), or machine learning
⢠Experience building data pipelines or trading analytics infrastructure
⢠Hands-on experience interacting with smart contracts or DeFi protocols directly
⢠Experience collaborating closely with product or trading teams on capital strategy and performance optimization
Company Overview
⢠Symbiotic is a generalized shared security system enabling decentralized networks to bootstrap powerful, fully sovereign ecosystems. It was founded in 2023, and is headquartered in Dubai, Dubai, ARE, with a workforce of 11-50 employees. Its website is https://symbiotic.fi.
Company H1B Sponsorship
⢠Symbiotic has a track record of offering H1B sponsorships, with 1 in 2025. Please note that this does not guarantee sponsorship for this specific role.
Apply tot his job
Apply To this Job