2 of 2 Permanent Statistical Analysis Jobs in South London

impactful products and initiatives. This role is based in London with hybrid working flexibility. You will: Define and standardise experimentation strategy, including best practices in test design, allocation, and statistical analysis Collaborate with commercial, engineering, analytics, and product teams to ensure flawless execution and clean data capture Apply causal inference techniques when randomisation isn't feasible Own the … to elevate experimentation maturity across the organisation What We're Looking For Significant experience in data science and experimentation, ideally within consumer tech or digital commerce Strong foundation in statistical testing, power analysis, and causal inference methodologies Expertise in SQL and Python (or R) for data querying, preparation, and sophisticated analysis Exceptional communication skills - with a proven More ❯

of products such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance, collaborating closely with traders and salespeople to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative Trading … Market Making desk by developing market-making and quoting strategies across equity products, from cash to derivatives. Employ advanced statistical and quantitative techniques, such as neural networks, to develop models that inform systematic trading and risk management decisions in real-time. Implement risk management frameworks and construct optimal portfolios across asset classes using factor models and other advanced techniques. … Create model calibration frameworks for our statistical and AI models, handling large-scale time series data efficiently. Advance our market-making strategies by utilizing various technologies and collaborating closely with Quant Developers and engineering teams. Basic Qualifications Outstanding academic achievement in a relevant quantitative discipline such as physics, mathematics, statistics, engineering, or computer science. Strong programming skills in object More ❯