3 of 3 Geospatial Data Jobs in the City of London

Exposure Data Analyst/Quantitative Exposure Analyst London 80,000 - 90,000 + Benefits Are you a data-driven insurance professional with strong Python and SQL skills looking to work at the forefront of exposure analytics, catastrophe risk, and process automation? I'm working with a highly regarded … London Market insurer seeking an experienced Exposure Data Analyst/Quantitative Exposure Analyst to join a growing Exposure Management function. This is an excellent opportunity to combine technical expertise, data engineering, analytics and catastrophe risk management within a business where exposure analytics plays a central role in strategic ...

About The Role At Alzheimer's Society, data plays an important role in our mission to create a world where dementia no longer devastates lives. Are you ready to turn raw data into insights that drive real change? Do you want to be part of a mission where … ensuring data accuracy. • Strong communication skills to engage with technical and non-technical audiences alike. Nice-to-haves • Experience with R and GIS (Geographic Information Systems) for advanced analytics and geospatial insights. • Familiarity with Agile development practices and iterative delivery. • Knowledge of working with external suppliers to manage ...

trading strategies and analytical capabilities across the Agricultural business. The Agricultural Trading department combines deep discretionary market expertise with modern quantitative research, technology and data science to provide liquidity, manage risk and identify trading opportunities across global agricultural markets. The desk has direct access to the major agricultural futures … more information visit https://www.marex.com/Role Summary An analytical, commercially minded and proactive quantitative professional with experience applying statistical and data-driven techniques within financial markets. Joining a front-office trading team that combines discretionary market expertise with systematic research and alternative datasets, the successful candidate ...