Trader

About the role

This role focuses on executing and managing trading strategies across various venues, including AMM pools, concentrated liquidity positions, and order books on both centralized and decentralized exchanges. A key part of the work involves real-time monitoring of positions, inventory, and P&L, along with proactively identifying and adjusting for risks. The successful candidate will ensure smooth and effective capital deployment.

The position also requires maintaining and improving internal trading operations tooling. This includes developing and refining position trackers, reporting dashboards, hedging workflows, and reconciliation processes. Staying current with DeFi market structures, protocol mechanics like AMMs and lending protocols, and relevant regulatory changes is essential for continuous improvement and strategic decision-making.

Success in this role means effectively managing trading strategies to optimize capital deployment and mitigate risks. It involves a strong understanding of market dynamics and a proactive approach to operational improvements. The individual will contribute to the efficiency and profitability of trading activities within a remote-first environment, requiring adaptability and self-direction.

The salary for this position ranges from $40,000 to $120,000 per year.

Skills that matter here

• crypto trading: The role requires direct experience in executing and managing trading strategies across various crypto venues.
• market-making: Candidates should have experience in providing liquidity and managing order books in crypto markets.
• liquidity provisioning: This skill is crucial for managing AMM pools and concentrated liquidity positions effectively.
• Python: Proficiency in Python is beneficial for data analysis and monitoring trading positions.
• data analysis: Strong analytical skills are needed to interpret market data and monitor trading performance.

Who this role suits

• A person with 2-5 years of direct experience in crypto trading, market-making, or liquidity provisioning.
• Someone who possesses a solid understanding of AMM mechanics and order book dynamics.
• An individual with strong quantitative and analytical abilities, comfortable with data-driven decision-making.
• A candidate who demonstrates a rigorous approach to risk management, proactively tracking exposure and hedging thoughtfully.

From the employer

What You Will Do

• Execute and manage trading strategies across centralized (CEX) and decentralized (DEX) venues, including AMM pools, concentrated liquidity positions, and order books.
• Monitor positions, inventory levels, and P&L in real time; proactively flag risks and execute adjustments.
• Maintain and improve internal trading operations tooling — position trackers, reporting dashboards, hedging workflows, and reconciliation processes.
• Stay current on DeFi market structure, protocol mechanics (AMMs, PMMs, lending protocols), and regulatory developments relevant to DeFi.

Requirements

• 2–5 years of experience in crypto trading, market-making, or liquidity provisioning — at a trading firm, market maker, or DeFi-native operation.
• Solid understanding of AMM mechanics (Uniswap v3/v4, Orca, etc.), order book dynamics, and how liquidity depth affects price impact and slippage.
• Strong quantitative and analytical skills; proficiency in Python or similar for data analysis and position monitoring is a plus.
• Rigorous approach to risk management — you track exposure, hedge thoughtfully, and escalate early when market conditions shift.
• Excellent communication skills; able to represent the team in external counterparty conversations with professionalism and precision.
• Self-directed and adaptable — comfortable operating with autonomy across time zones in a remote-first environment.

We Provide

• Prior experience at a DeFi protocol, crypto market maker, or liquidity-as-a-service provider.
• Familiarity with Solana ecosystem tooling (Jupiter, Orca, Drift) and EVM DeFi (Uniswap, Aave, Curve).
• Algorithmic trading experience (managing systematic trading systems).
• Machine learning (e.g. ridge/lasso regression, tree-based regressors, classification) and large data analysis background.
• Hands-on experience with token launch mechanics — launchpad structures, cliff/vesting schedules, listing coordination across CEX and DEX venues.