Digital Strategist (Senior)

Senior Quantitative Strategist (Research-Oriented) About the Role We’re looking for a Quantitative Strategist to join our team and help shape the research behind our trading strategies. You’ll work at the intersection of data, modelling, and execution – identifying opportunities, analysing patterns, and building signals that translate into real-world performance. This is a core role driving what we trade and why, and you’ll collaborate closely with engineers and product owners to bring ideas to life. Key Responsibilities Design and test quantitative trading strategies across asset classes (crypto, equities etc.) Analyse large datasets to extract meaningful signals and develop robust hypotheses Collaborate with engineers to implement, backtest, and refine strategies Monitor strategy performance and adapt to evolving market conditions Work closely with Quant Developers and AI/LLM teams on systematic research workflows Required Skills Strong background in statistics, mathematics, econometrics or related field Hands-on experience developing and validating trading strategies Proficient in Python and data science libraries (pandas, NumPy, scikit-learn) Familiarity with backtesting frameworks and time-series modelling Comfortable working in fast-paced, research-driven environments Bonus Points Experience in crypto or digital asset markets Exposure to LLMs or AI-powered research tools Understanding of market microstructure and trading infrastructure