Pricing Analyst

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129917

Working hours:
This role is available on a part-time, job-share or full-time basis

Location:
Hybrid (Fareham/London office & remote working)

Do you love transforming data into powerful insights that drive real business decisions? Are you excited by advanced analytics and statistical modelling? If so, we’d love to hear from you!

Our Predictive Modelling team within Pricing Analytics is looking for a talented Pricing Analyst who thrives on solving complex challenges using cutting‑edge statistical techniques.

In this role, you will identify, assess, and design solutions to address key business challenges. You will collaborate with stakeholders across the organization throughout the project lifecycle, developing advanced analytics models and delivering actionable business insights. This is an opportunity to work cross‑functionally, innovate with purpose, and shape the future of insurance through data‑driven decision‑making.

Many of our employees work flexibly in a variety of different ways, including part‑time, flexible hours, job share, an element of working from home or compressed hours. This is because we want the best people for our roles, and we recognise that sometimes those people aren’t available full‑time. Please talk to us at the interview about the flexibility you may need.

• Design, develop, and validate statistical models, including Generalised Linear Models (GLM) and other methods, to support pricing and underwriting decisions.
• Analyse data, interpret model outputs, and communicate insights clearly to both technical and non‑technical audiences.
• Deliver analytics solutions that provide actionable insights for the business.
• Collaborate with teams across Data, Pricing, Underwriting, and other functions to translate objectives into advanced analytics models.
• Research and apply new modelling techniques and tools to enhance predictive capabilities.
• Drive continuous improvement by reusing assets and optimising processes.
• Analyse internal and external data to identify trends, assess impacts, and provide strategic recommendations.
• Develop business cases for prototypes, explore new technologies, and identify opportunities for process improvement.
• Share knowledge and best practices within the team.

Ideally, you will have:

• A degree (or equivalent) in a quantitative discipline and around 2 years’ experience in insurance pricing and statistical modelling.
• Knowledge in tools such as SQL, R/Python and Emblem.
• Strong communication skills to explain complex concepts to diverse audiences.
• A proactive mindset, problem‑solving ability, and a passion for innovation.

As an inclusive employer we want to ensure that all candidates feel comfortable and are able to perform at their best during the interview. You’ll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply.

Everyone’s different. That’s why at Zurich, we offer a wide range of employee benefits so our people can choose what fits them and their life. Our benefits provide real flexibility so our people can make considered choices and tailor their benefits throughout the year. Our benefits include 12% defined non‑contributory pension scheme, annual company bonus, private medical insurance and the option to buy up to an additional 20 days or sell some of your holiday.

• 12% defined non‑contributory pension scheme.
• Annual company bonus.
• Income Protection.
• Life cover - four times your salary.

• 25 days holiday a year plus bank holidays.
• You can also request to swap UK bank holidays for days off that have cultural or religious significance to you.
• The option to buy up to an additional 20 days or sell some of your holiday.
• Three days paid volunteering.
• Up to 16 weeks' full pay for maternity, paternity and adoption leave.

• Access to Private medical insurance.
• Virtual GP appointments.
• Discounted gym membership.
• Free flu jab.
• Access to a wealth of support from our wellbeing partners.

• Creating a brighter, more sustainable future…