About the Role
This role involves working across the existing portfolio of Schemes (and Delegated Authorities) business, analyzing new Schemes opportunities, and delivering analytics and business insights to influence decisions and drive performance objectives. You will ensure alignment with the wider Hiscox UK business strategy and play an integral part in growing the portfolio in line with strategic plans.
Responsibilities
- Providing an independent review and recommendation for underwriting on large existing Schemes and MGA’s
- Deploying analytical skills to assess new schemes opportunities, working in close collaboration with our Delivery Underwriters
- Completing all other relevant ad hoc and deep dive data analysis including underwriting referral analysis and making recommendations for improvements
- Designing and developing the data standards relevant for your sector in conjunction with the underwriting and Schemes Leadership team, and working closely with the analytics function
- Using data visualisation tools to design and build a reporting suite to enable the Schemes Sector to actively monitor performance and portfolio trends
- Producing on an ongoing basis our monthly and quarterly suite of reporting
- Using analytical skills to spot trends in Schemes performance and provide insight and recommendations for changes to strategy
- Supporting innovation and continuous improvement and looking for opportunities to implement data, reporting and process improvements across Schemes Sector
- Conducting data analysis to spot trends and recommend corrective action and opportunities for profitable growth within existing portfolios
- Applying knowledge of the regulatory environment to all portfolio decisions and ensuring recommendations result in customers being treated fairly and consistently
- Working closely with a wide range of interested stakeholders to deliver a consistent and accurate suite of reports across a wide range of business performance metrics
Requirements
- Experience in a similar analytical role, using data and insights to identify trends, evaluate performance and make recommendations that drive business growth and improvement
- Experience within insurance, ideally within Schemes, MGA, Pricing, Portfolio Management or an analytical function supporting underwriting decisions
- Experience using data analysis tools such as Python, R or SQL and data visualisation tools including Power BI
- Proficient in applying analytical techniques to extract meaningful trends and make recommendations
- Ability to make confident decisions in difficult and complex situations
- Strong interpersonal skills and ability to operate in a collaborative environment
- Excellent numerical, analytical and data manipulation skills
- Results driven, ability to make decisions and operate on own initiative
- Ability to execute and influence at all levels both internally and externally
- Open to new ideas, innovation and educated risk taking
- Excellent communication skills with ability to articulate the complex to technical and non-technical audiences
Skills
- Data analysis
- Data visualization
- Python
- R
- SQL
- Power BI
- Analytical techniques
- Interpersonal skills
- Communication skills
Work Type
- Permanent
- Flexible working
About the Company
- Hiscox UK is a leading brand in the insurance market, recognised as setting the standards others try to emulate.
- We consistently deliver strong growth and exceptional returns, recruiting only the very best and empowering them to deliver.
- We are known for insuring the homes of the rich and famous through to the most innovative technology companies.
- Our customers are diverse and unique and are only united by our ability to provide specialist insurance tailored to their needs.
Equal Opportunity
- At Hiscox we care about our people.
- We hire the best people for the job, and we’re committed to diversity and creating a truly inclusive culture, which we believe drives success.
- We also understand that working life doesn’t always have to be ‘nine to five’ and we support flexible working wherever we can.
