Who we are :
QBE’s European Operations, which accounts for over 27% of QBE Group turnover, is a leading specialist in London market and European commercial lines business.
Active in both the Lloyd’s and company market, QBE offers considerable diversity to the broking community. We are a socially responsible company and give our customers the ability to invest a portion of their premiums in environmentally and socially beneficial projects.
The Opportunity :
We're one of the world's largest insurers, managing $4Bn of policies, covering a large number of domains : Energy, Cyber, Property, Marine and Casualty, to name a few.
We specialise in commercial insurance and we handle often large and complex risks.
You will be helping us to better forecast the risks our current and prospective clients face, so that we manage and price our policies more accurately by leveraging the rich customer and claims data in combination with growing external sources like credit, census, telematics, GPS, weather and social media data.
You will also help us with modelling customer acquisition and retention, fraud detection, as well as with identifying and prototyping new technology.
The next big frontier for us is building NLP models with the huge amounts of text data we have available, which will be a strong focus for this role.
You will be joining a dynamic and growing team while working closely with industry leading insurance experts with a vast knowledge in each specific domain, combined with strong executive sponsorship.
Data science has the support of the board as one of the company’s six key global initiatives and is vital to QBE’s future success.
Your responsibilities for this role may include, but are not limited to :
quantify and analyse model performance; oversee model scaling and refreshingDemonstrate the value of data products and data derived insights to business stakeholders
You will need to be able to display you have the following qualifications and experience :
Advanced degree in mathematics, computer science, or other quantitative field from a top universityExperience building end-to-end analytics solutions, including exposing Python and R algorithms as APIs with Flask and building visualizations in D3.
jsExperience with text mining and NLPExpert with SQL development and advanced queries, plus experience handling unstructured data in MongoDBStrong experience with Unix and leveraging scalable data science environments such as Spark and AWSPrevious experience delivering predictive machine learning solutions and managing stakeholders within a large organisation
We view our people as our most precious asset. We understand the importance of fostering a work environment that is responsive to the changing needs of today's workforce.
QBE aims to build a workplace that is fair and inclusive because we want to attract and retain the best people to do the job.
Search for QBE on Vercida to learn more about our Diversity and Inclusion programmes and policies.