MGA platform accelerator, USA funded and taking the UK market by storm. Building out a data centre of excellence, geared to offering P/C underwriters competitive data diagnostics to rate and price insurance risk, and optimise ROI.
About the Role
Working in a small, growing team of specialists (underwriters, business and data analysts), you will work through a range of data analytics responsibilities including:
- Scoping data requirements
- Working with large data sets
- Cleansing, structuring and formatting data
- Modeling data
- Visualising data
- Developing a modern, competitive and AI led data analytics offering
Non-negotiable requirements – The role requires that you are:
- Eligible to work in the UK
- Open to hybrid work, with office based days specified
- Are a good fit for a small, highly visible, and genuinely fast paced environment
- Have pre-exiting insurance (underwriting) experience or knowledge that can be verified
Qualifications
- A strong academic foundation (Honors degree level STEM, Data Analytics or similar) and acquired insurance (underwriting) experience – either via an Insurance Risk Management degree, CII accreditation or working experience within a general insurer, carrier, MGA, Lloyd's.
- Circa 4+ years related business data analysis experience, gained within an insurance carrier, intermediary, an insurtech or insurance consulting environment
- Excellent client facing communication skills, and ability to translate these into req docs as part of a full lifecycle analyst function
Required Skills
- Strong capabilities in requirements elicitation and clarification (business analysis)
- Experience working with SQL, Excel, Python or R.
- Skills in the use of Data visualisation tools (Qlikview, Tableau or Power BI)
- Understanding of / experience in the insurance underwriting lifecycle, and key data metrics that support risk rating, pricing, performance metrics
Preferred Skills
- Further experience in the use of Azure Data Factory would be highly favored, but is not a core requirement.
To apply for this role, please send over an up to date copy of your CV to tparmar@hansonlee.com
