Senior Quantitative Scientist - Alternative Data / FinTech - Up to £120k base

About the role

Build and improve forecasting models using time series, regression modeling, and seasonality analysis. Refine the company's data analysis methodology to make it more accurate, robust, and defensible. Candidates need strong Python skills and professional experience in statistics and quantitative modeling, including deep expertise in at least one advanced area such as Bayesian modeling, Kalman filtering, change-point detection, or forecast combinations. They must have either at least five years of relevant professional experience or a completed PhD in a relevant field, and be available to work full-time without side projects or part-time arrangements.