Quantitative Researcher – Crypto Markets & Signal Modeling A remote-first trading company is looking for a Quantitative Researcher or Data Scientist to help uncover short-term alpha in emerging crypto assets. You'll focus on surfacing opportunities in memecoin markets using a mix of blockchain analytics, sentiment signals, and time-series modeling. Key Details:Start date: ASAPLocation: Remote - EuropeContract: 3 months (potential to extend or go permanent)Rate: €500–€550/dayRole OverviewDevelop data-driven signals using blockchain indicators such as wallet flows, token velocity, and on-chain user activityBuild fast-reacting models to support short-horizon trading strategies with high win potentialUse real-world backtesting and live data to validate and adjust strategy parametersTrack platform-level performance metrics (e.g. retention, revenue trends) to support operational insightsWork closely with engineering teams to translate models into production-grade trading botsIdeal ProfileAdvanced academic background (PhD or equivalent experience) in a quantitative disciplinePrevious work in high-performance trading environments (HFT, hedge funds, or crypto-native quant firms)Strong command of Python, R, or MATLAB with a focus on market modeling and alpha researchFamiliarity with crypto trading ecosystems, especially volatile altcoins or Solana-based assetsComfortable navigating uncertain, noisy data and high-frequency environments
Sam Oliver