Analyse risk and pricing data, claims experience, and market trends to uncover insights that shape pricing strategy
Develop coding and analytical skills (Python, SQL, Excel) to deliver innovative solutions and integrate new data sources
Identify opportunities to improve profitability and expand our competitive footprint through pricing and underwriting adjustments
Monitor key performance indicators and mix of customers, using management information and portfolio analysis to drive decisions
Collaborate with actuarial, underwriting, and commercial teams to deliver actionable insights and support rate change processes from concept to delivery
Take end-to-end ownership of projects, presenting findings to senior leaders and driving continuous improvement in pricing models
Requirements
Recent graduates with a strong foundation in numerical and analytical subjects such as Mathematics, Statistics, Actuarial Science, Economics, Data Science, Engineering, Computer Science, Physics or similar
Prior experience as an analyst in insurance or a related industry is also welcome
Comfortable working with statistical and pricing data, with an aptitude for learning advanced tools
Knowledge or experience with analytical programming environments (Python, SQL, Excel) or a willingness to develop these skills
Curious, inquisitive mindset with a proactive approach to driving change and thinking outside the box
Excellent communication skills, both written and verbal, with confidence to share ideas and challenge constructively
Commercial awareness and enthusiasm to learn, adapt, and make a real impact in a dynamic environment
Tech Stack
Python
SQL
Benefits
Flexible working
Competitive bonus scheme
Financial wellbeing – including 4x salary life assurance, income protection, matched pension contributions up to 10%, discounts, cashback, financial wellbeing support
Mental wellbeing programme – thrive mental health app, colleague assistance programme, in-house mental health first aiders, support groups
25 days annual leave + bank holidays, option to buy or sell one week