Algorithmic Trader

About the Role You will research, design, test, and deploy systematic crypto trading strategies across on-chain and off-chain venues. You will build lightweight analyses and backtests, define signals and evaluation criteria, and refine execution and risk assumptions. You will validate strategy performance, produce clear research notes and specs, and iterate quickly from idea to live deployment. If you demonstrate strong judgment and real edge, you may take ownership of a trading mandate and manage P&L.

Requirements Genuine interest in crypto markets, systematic trading, and automated strategy development Experience creating testing or operating trading strategies, even if personal, academic, or self-directed Comfortable reasoning from data including backtests, charts, notebooks, spreadsheets, SQL, Python, R, or similar workflows Strong intuition for risk, liquidity, fees, execution quality, and live versus backtest failure modes Ability to explain a trading idea clearly including edge, signal, market conditions, risks, and expected behavior High agency and curiosity with a focus on fast testing and learning Coding ability helpful but not required

Responsibilities Research, design, and iterate on systematic crypto trading strategies across perps, spot, funding-rate arbitrage, basis trades, DeFi yield, market making, CEX/DEX arbitrage, and on-chain market structure Use strategy design and backtesting tools to move ideas to tested strategies and live deployments quickly Build offline analyses, models, notebooks, or lightweight research workflows to evaluate strategy ideas Define signals, datasets, parameters, benchmarks, and evaluation criteria for new strategies Backtest strategies accounting for fees, slippage, liquidity, execution assumptions, and market regime changes Validate product workflows from a trader perspective to improve iteration speed and remove deployment blockers Work with engineering and product to improve backtesting, monitoring, risk controls, strategy templates, and deployment workflows Produce clear research notes, strategy specifications, examples, and internal playbooks to turn intuition into repeatable systems Own trading mandates and manage strategy performance when fit and results warrant expanded responsibility

Benefits Access to strategy design backtesting and deployment platform Remote flexibility with the option to work in office Competitive compensation Potential token or equity participation Junior Quantitative Trader Drift · 6 days ago Senior Engineer Trading Zero Hash LLC · 6 days ago Staff Quant Strategist Engineer Avara · 1 week ago DeFi Desk APAC Morpho Labs · 2 weeks ago Dealer NAGA · 3 weeks ago Junior Quantitative Trader Drift · 6 days ago Senior Engineer Trading Zero Hash LLC · 6 days ago Staff Quant Strategist Engineer Avara · 1 week ago DeFi Desk APAC Morpho Labs · 2 weeks ago Dealer NAGA · 3 weeks ago