Senior Pricing Data R&D Analyst
Role details
Job location
Tech stack
Job description
office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. What you'll be doing: Lead and support projects focused on data enrichment to enhance model accuracy and segmentation. Identify and evaluate new predictive features from diverse data sources, assessing their commercial value. Develop and implement advanced predictive models and analytics techniques. Create and maintain robust data pipelines for live rating and ELR integration. Support governance and contractual management of data sources and providers. Act as the key interface between Data R&D and risk pricing model owners. Develop tools and metrics to measure the value of new data sources. Drive innovation by exploring novel ways to utilise existing data for modelling enhancements. Due to the, The analyst will lead projects focused on data enrichment to enhance model accuracy and segmentation, while also developing and implementing advanced predictive models and analytics techniques. Key duties include creating robust data pipelines and acting as the interface between Data R&D and risk pricing model owners.
Requirements
Data Enrichment, Predictive Modelling, Python, R, SAS, SQL, External Data Integration, Numerical Skills, Mathematical Skills, Problem-Solving, Communication, Machine Learning, Statistical Methods, Data Pipelines, Risk Pricing, number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we're able to effectively manage interest. Therefore, if you're interested in joining us at AXA, please don't hesitate to apply. What you'll bring: Proven experience in a data analytics role Proficiency in predictive modelling and analytical tools such as Python, R, SAS, or SQL. Demonstrable experience working with external data sources and integrating them into models. Strong numerical and mathematical skills, with a 2.1 degree or higher in a related discipline. Excellent problem-solving skills with a proactive approach to challenges. Effective communication skills to collaborate across teams and influence stakeholders. A passion for learning new techniques, including machine learning and statistical methods. Ability to plan, prioritise, and deliver projects within a fast-paced environment. As a precondition of
Benefits & conditions
employment for this role, you must be eligible and authorised to work in the United Kingdom. What we offer: At AXA UK, we're appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive: Competitive annual salary Annual company & performance-based bonus Contributory pension scheme (up to 12% employer contributions) Life Assurance (up to 10 x annual salary) Private medical cover 25 days annual leave plus Bank Holidays Opportunity to buy up to 5 extra days leave or sell up to 5 days leave Wellbeing services & resources AXA employee discounts To apply, click on the 'apply for this job' button, you'll then need to log in or create a profile to submit your CV. We're proud to be an Equal Opportunities Employer and don't discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments