Jobs in Kingston Upon Thames, United Kingdom

Howden is a collective – a group of talented and passionate people all around the world. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 18,000 employees spanning over 100 countries.

People join Howden for many different reasons, but they stay for the same one: our culture. It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden.

We are recruiting for a Pricing and Data Science specialist for Howden’s UK & Ireland retail business. You will be a senior member of a cross-functional team of data scientists, analysts and pricing experts who deliver predictive modelling and data insight to each of our retail broking pillars across wide variety of product lines. You will be based remotely; however, we do like to meet up from time to time to collaborate and share ideas.

Overview:

• Help shape pricing and product strategy, with a particular focus on our personal lines products.
• Develop and maintain our suite of predictive models, including both pricing models and behavioural models which drive business processes.
• Mentor more junior members of staff to deliver effective modelling and analytical projects.
• Collaborate with stakeholders from across 5 retail pillars (Consumer & Local Commercial, Corporate & Commercial, Health and Benefits, Mortgages & Financial Planning, and Ireland) and our Tech companies.
• Work directly with external partners, in particular our capacity providers as well as colleagues in wider Howden businesses.
• Support ourgrowing data analysis function which delivers timely, accurate and insightful analysis to support profitable growth and improved client experience.
• Provide interim line management and team leadership responsibility for maternity leave of existing Team Lead, with support from other senior staff.

Experience & Qualifications

• Experience in building and implementing pricing models both in technical risk and retail pricing.
• Expertise in predictive modelling, machine learning and analytical techniques. Experience with generative AI would be beneficial but not mandatory.
• Actuarial qualification desirable – or qualified by experience.
• Strong academic background
• Good knowledge of the insurance industry, particularly the UK broking space.

Skills

• Statistical and Technical modelling skills – both traditional and machine learning techniques
• SQL and Python coding
• Clear communicator – ability to extract clear recommendations from data and communicate impact on business strategy.
• Stakeholder management – able to support a wide variety of stakeholders from different backgrounds
• Innovative and focused – a passion for extracting real business value from data.

A career that you define. At Howden, we value diversity – there is no one Howden type. Instead, we’re looking for individuals who share the same values as us:

• Our successes have all come from someone brave enough to try something new

• We support each other in the small everyday moments and the bigger challenges

• We are determined to make a positive difference at work and beyond

We're committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours* or hybrid working*.

If you're excited by this role but have some doubts about whether it’s the right fit for you, send us your application – if your profile fits the role’s criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.

*Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more.