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