Create and maintain analytical tools to support in the management of our risk portfolio.
Develop best in-class models to predict claims outcomes, fraud and other risk KPIs.
Engineer powerful new rating factors to be deployed into our rating algorithms.
Identify, analyse and monetise new data sources.
Requirements
Undergraduate degree in mathematics/statistics or a similarly numerical subject
Experience building predictive models in a commercial environment.
Keen interest in emerging ML techniques and their commercial value.
Proficiency in Python.
Proficiency in SQL.
Strong communication skills.
Ability to work cross-functionally with Data Engineers, Data Scientists, Actuaries and Pricing Analysts.
Benefits
Flexible working – we champion a flexible hybrid working approach – please speak to your recruiter to discuss in more detail
Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus
Financial wellbeing – as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award-winning package which includes – discounts, cashback, free independent mortgage advice and free access to financial wellbeing support
Mental wellbeing programme – we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs
25 days annual leave + bank holidays, with the option to buy or sell one of your weeks
Access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more ….
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