AlgoQuant - Quant Trade Researcher
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Requirements
• Exceptional mathematical, statistical, or scientific pedigree Olympiad medallists, PhDs, and top-decile graduates in maths, physics, computer science, or equivalent • Deep understanding of statistical learning, classical machine learning, and deep learning; strong experience implementing a wide range of models, including boosting algorithms, transformers, and reinforcement learning. • Strong programming ability, Python required, C++ or Rust a plus • Relentless curiosity and high agency, someone who cannot walk away from an unsolved problem • Comfort owning research end-to-end without hand-holding • For junior candidates: a research track record strong enough that we would hire on potential, papers, Kaggle wins, competitive programming results, or systematic trading experiments • For senior candidates: a live, attributable track record in systematic trading; crypto exposure a strong plus • A genuinely paranoid eye for data quality and bias, not comfortable until every result has a clear explanation • A genuine love for the subject, not just the paycheque
Responsibilities
• Generate and test systematic trading hypotheses across spot, derivatives, and on-chain markets • Build, validate, and maintain live alpha signals and execution models • Run rigorous backtests, guarding against lookahead, data-leakage, and overfitting • Analyse microstructure, order flow, and cross-venue dynamics to improve portfolio construction • Collaborate with engineers to move research from notebook to production • Monitor live strategy performance and iterate quickly on results • Contribute to shared research infrastructure, tools, datasets, and code
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