Key Roles and Responsibilities

• Manage a team of 4-5 data scientists and data analysts


• Develop new predictive and prescriptive models according to the product owner needs and subject-matter experts


• Test and evaluate external vendor ready models


• Maintenance of existing models (re-training for new clients, expansion)


• Perform a detailed need gathering and create modelling framework for the new risk consulting engagements  


• Document all the models and maintain the versions


• Explore new data sources for improvement of the current model


• Develop/maintain dashboards that give competitive insights to the clients

Ideal Candidate Profile

• 9+ Years of industry experience with a quantitative background (engineering, statistics, economics)


• Strong experience in multivariate non-linear modelling (ML, AI), but also in traditional modelling techniques (linear regression analysis, time-series analysis)


• Very well versed with the latest modelling and visualization packages in R and/or python


• Abie to produce high-quality, secure, and maintainable code in an agile environment (GIT etc.)


• Worked in the financial services industry (preferably insurance/consulting)


• Experience in developing actuarial models as a strong plus


• Experience in geospatial models (e.g. satellite image recognition) or econometric modelling (time-series models like ARMA and GARCH as well as their derivatives) as a plus


• Experience with MS Azure Machine learning platform as a plus

Social skills & working style

• Strong interpersonal skills and the ability to network in an interdisciplinary & multi-cultural environment


• Strong communication skills (written and verbal), ability to present ideas


• Self- starter who is methodical and well-organized


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