Key Roles and Responsibilities

• Apply analytical methods and algorithms to build data products that streamline the process from data collection to generating insights for various property insurance business problems.


• Proactively collect, structure, and analyze (new) datasets that are relevant for ongoing projects.


• Drive innovation, following relevant industry/technology trends


• Perform quantitative analysis and create visualization to support the broader P&C analytics team


• Support development of enhancement of the analytical products to bridge gaps in our offering today

Ideal Candidate Profile

• 6+ Years of industry experience with a quantitative background (computer science, natural sciences, applied mathematics / statistics, engineering, econometrics)


• Deep knowledge and expertise in machine learning concepts, data science and analytics tools


• Hands on experience in Python, R, Linux servers, relational databases and SQL


• Experience in Geographic Information Systems, worked on GDAL/OGR and its low-level wrappers


• Worked on geospatial tools like QGIS/ArcMap


• Expertise in visualization tools to build dashboards such as PowerBI, Dash, R-shiny


• Primary property insurance market knowledge is a plus, having worked in a similar supporting role for an insurance, consulting or analytics company


• Experience in Catastrophe Modelling and/or conducting analysis with widely used CAT models is a plus.

Social skills & working style

• Team player with strong interpersonal skills and the ability to work in an interdisciplinary & multi-cultural environment


• Strong communication skills (writing and speaking), ability to present ideas


• Self- starter who is methodical and well-organized


• Adept in multitasking and meeting deadlines in a delivery focused environment