Quantum Researcher (Crypto Derivatives)

Quantum researcher for a crypto prop desk developing and deploying trading strategies remotely. Fixed salary plus profit bonus.

Midpoint is a new prop desk with its own capital on cryptocurrency markets, an international team of top university graduates. The desk has its own infrastructure: historical data, backtesting as a service, paper and live trading with the same code. We are looking for a researcher to develop the desk's strategies and bring them into live trading. Tasks: • Develop strategies on spot and perpetual futures: market-neutral and directional. • Validate hypotheses on historical data: trades, candles, funding, open interest, capitalization. • Build backtests with honest costs, margin accounting, and overfitting control. • Use AI agents in the research loop: hypothesis scanning, backtest code, reviews, report analysis. Agent results are verified by humans; massive hypothesis scanning is accounted for in overfitting assessment. • Move strategies through paper trading into live and monitor divergence between live results and backtests. • Participate in auditing strategies from external quants.

Experience in mid-frequency trading and bringing strategies to production: your alphas traded live—you brought them out yourself or the team did. • Python for data analysis. • Working-level statistics: hypothesis testing, multiple comparisons, robustness assessment. • Understanding of crypto derivatives: perpetual futures, funding, basis, margin, and liquidations. • Experience with backtests that account for fees, slippage, and look-ahead bias. • Experience with AI agents for coding and data analysis (Claude Code, Codex, or similar): ability to task an agent, review its code, and avoid accepting results without oversight. • English at a level to read scientific articles and work in an international team.

Fixed salary and bonus from profits of strategies you brought into live trading. • Probation period of several weeks, after which the bonus part is reviewed. • Ready-made data and infrastructure: work on strategies, not on loaders. Selection process: • Short call. • Pilot for 4–7 days: implement a known approach from crypto market research as a strategy within our risk profile, backtest on our engine, iterate on feedback. • Technical review of the pilot and final interview.