Algorithmic Trader

Key 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 Structure’s strategy design and backtesting tools to move from idea to tested strategy to live deployment quickly.

• Build offline analyses, models, notebooks, or lightweight research workflows to evaluate strategy ideas before bringing them into Structure.

• Define signals, datasets, parameters, benchmarks, and evaluation criteria for new strategies.

• Backtest strategies with attention to fees, slippage, liquidity, execution assumptions, and market regime changes.

• Help validate Structure’s product from the perspective of a serious trader: what makes iteration faster, what blocks deployment, and what a professional strategy workflow needs.

• Work with engineering and product to improve backtesting, monitoring, risk controls, strategy templates, and deployment workflows.

• Produce clear research notes, strategy specs, examples, or internal playbooks that help turn trading intuition into repeatable systems.

• If the fit is strong, grow into owning a trading mandate, managing strategy performance, and building a desk around your strongest ideas.

Qualifications

• 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: backtests, charts, notebooks, spreadsheets, SQL, Python, R, or similar analysis workflows.

• Strong intuition for risk, liquidity, fees, execution quality, and why backtest results can fail live.

• Ability to explain a trading idea clearly: the edge, the signal, the market conditions, the risks, and the expected behavior.

• High agency and curiosity. You should enjoy testing ideas quickly, learning from results, and improving the system.

• Coding ability is helpful but not required. Structure is designed so strategy development does not depend on being a full-time software engineer.

Nice to have

• Existing crypto strategies or research you can discuss.

• Experience with Python, SQL, pandas, notebooks, Dune, or other data analysis tools.

• Familiarity with Drift, Hyperliquid, Solana, DeFi protocols, perpetual futures, order books, AMMs, or on-chain data.

• Experience in prop trading, quant research, market making, portfolio construction, HFT, ML, or systematic investing.

• A track record of taking an idea from analysis to live trading, even at small scale.

• Strong opinions about what good backtesting, execution, monitoring, and risk tooling should look like.

What we offer

• A chance to accelerate your career as an algorithmic trader by working directly on live crypto strategy infrastructure.

• Access to Structure’s strategy design, backtesting, and deployment platform so you can iterate faster than building the full stack yourself.

• The ability to focus on strategy logic, research, and market edge instead of spending months building infrastructure.

• Direct collaboration with founders, engineers, and product builders working at the intersection of crypto, AI, backtesting, and automated execution.

• Opportunity to help shape a product built for traders like you.

• Competitive compensation, with potential token or equity participation.

• Remote flexibility, with the option to work in office.

• For exceptional performers, a path toward building your own desk and taking responsibility for your own P&L.