About the Company
- an exciting, unusual opportunity, which requires a strong aspirational and culture fit. 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 profitability. 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: Working with large data sets Cleansing, structuring and formatting 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 Live in London Open to hybrid work, with office based days specified Good fit for a small, highly visible, and genuinely fast paced environment Have pre-existing insurance (underwriting) experience or knowledge that can be verified Qualifications A strong academic foundation (Honours 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). Affinity for 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 favoured but is not a core requirement. Pay range and compensation package
- Commensurate with experience, plus attractive bonus scheme and travel costs (London based). Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology and Consulting Industries
Insurance
#J-18808-Ljbffr
- an exciting, unusual opportunity, which requires a strong aspirational and culture fit. 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 profitability. 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: Working with large data sets Cleansing, structuring and formatting 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 Live in London Open to hybrid work, with office based days specified Good fit for a small, highly visible, and genuinely fast paced environment Have pre-existing insurance (underwriting) experience or knowledge that can be verified Qualifications A strong academic foundation (Honours 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). Affinity for 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 favoured but is not a core requirement. Pay range and compensation package
- Commensurate with experience, plus attractive bonus scheme and travel costs (London based). Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology and Consulting Industries
Insurance
#J-18808-Ljbffr
