Quantitative Trader

Capriole is a quantitative asset manager and hedge fund, specialising in Bitcoin and crypto and managing assets across equities and commodities markets.Quant traders monitor markets, improve trading algorithms and dig into data to create better models. We’re looking for candidates with a strong quantitative background with experience building and deploying autonomous trading strategies.Position details:Develop trading strategies which outperform market indices (incl. Bitcoin)Identify valuable and predictive data sourcesBuild unique indicators, metrics and models to drive investment decisions and signalsConduct comprehensive backtesting & thesis validationProductionize trading strategies to deploy on live capitalRewarded based on resultsGrowth into leadership/mgmt over-timeYour skills:2-5 years experience building quantitative trading modelsTrack record of profitability (could be a realistic backtest or live-trading track record)Expert in PythonQuantitative, scientific approach and attention to detailExpertise in finding, integrating, optimizing and analyzing new datasetsCreativity in coming up with new trading ideas and approachesGreat communication skills, both written and verballyExperience in Bitcoin, crypto markets and/or equities marketsOptional but valued:Mathematical or science backgroundMachine Learning / Reinforcement Learning / LLM experience