Junior Quantitative Researcher | PhD

About A1XA1X is a principal trading firm active in digital-asset derivatives. We employ a range of strategies — including thematic, volatility arbitrage and market making — to deliver consistent performance across market cycles. Founded by a Bitcoin derivatives trader active since 2012 and built by a team of quantitative researchers and engineers, A1X combines the agility of a proprietary desk with institutional discipline. We take a long-term view of digital-asset markets - recognising them as a structural shift in global finance.The RoleWe are looking for a Junior Quantitative Researcher with PhD (or currently enrolled in a PhD programme) in a quantitative field to help advance our modelling and research efforts. This role offers the chance to work in a dynamic, intellectually stimulating environment while growing your expertise in advanced quantitative finance. Key ResponsibilitiesPerform exploratory data analysis on large, high-frequency datasets to uncover statistical patterns and ensure data quality.Research, develop, validate, and enhance mathematical models and algorithms.Design, run, and automate backtests to evaluate model performance and robustness across different regimes and time horizons.Run simulations and model market behaviours for both liquid and illiquid assets.Collaborate with quantitative developers to translate prototypes into robust, production-ready models and support their validation within the trading infrastructure.Improve models using real-time performance metrics and feedback from traders.Develop and maintain research tools and automation scripts.Document research methodologies and experiments.RequirementsPhD in a quantitative field such as Statistics, Mathematics, Physics, CS or EE.Proficiency in Python, PyTorch or Tensorflow, and writing robust and clean code.Proficiency in probability theory, stochastic calculus, and optimisation.Proficiency in option pricing theory (i.e. Greeks and derivative pricing and hedging).Ability to translate qualitative intuition and insights into testable hypotheses. Strong communication skills for presenting complex concepts.Preferred SkillsFamiliarity with digital asset markets and exchange dynamics.Proficiency in Deep Learning, Reinforcement Learning, LSTM and LLM.Experience developing and deploying models in real-time, low-latency trading systems.Open-source contributions or published peer-reviewed research in a top-tier journal.What we offerCompetitive pay with performance-based bonus.Hybrid work arrangements.Training & development budget.Private healthcare.Direct collaboration with a small, senior team that values precision and initiative.Exposure to tick-level, high-frequency data analysis across digital-asset markets.See your work go live.Access to the technology, data, and infrastructure of top firms — with the agility of a small, high-performing team.