Analytics Consultant (Insurance)

Lloyd’s is the world’s leading insurance andreinsurance marketplace. We share the collective intelligence and risk sharing expertise of the market’s brightest minds, working together for a braver world.

Our role is to inspire courage, so tomorrow’s progress isn’t limited by today’s risks. 

Our shared values: we are brave; we are stronger together; we do the right thing; guide what we do and how we act. If you share our values and our passion to build a future that’s more sustainable, resilient and inclusive, you’ll find a home at Lloyd’s – build a braver future with us.

Lloyd’s are seeking to recruit a Analytics Consultant (Insurance) To deliver analytics, tools and insights to enable effective risk-based oversight and drive continuous improvement in market performance.

Principal Accountabilities

Work with the Senior Manager and colleagues in Portfolio Analytics to develop methodologies, tools and controls that allow Lloyd’s to efficiently and effectively oversee the market.

Lead analytical and data related projects that help manage the performance of the Lloyd’s market

Develop new methods for understanding performance to enable better forward-looking assessments

Develop methods of measuring and targeting a sustainable portfolio mix for Lloyd’s taking into account risk vs reward and the Market’s strategic direction. Drive increased insight of Lloyd’s portfolio composition and identify areas for oversight and opportunity through quantification, modelling and original analysis and further development of the Lloyd’s Model Portfolio.

Help Portfolio Analytics to become to go to place for data and analytics in Markets

Act as data subject matter expert for the market data returns used by Underwriting to assess performance.

Leads on initiatives to improve data quality, insight, alignment and rationalisation across Underwriting.

Manage and lead the automation of quarterly BAU processes:

Risk Based Oversight – which analyses performance trends by class of business

Quarterly Business Review – which analyses performance by Syndicate

Underwriting Risk Appetite reporting which monitors whole market performance.

MI for Markets Executives

Contribute to cross-functional collaboration, in particular with Finance, Predictive Analytics, Capital and Data.

Skills Knowledge and Experience

Intermediate to advanced knowledge of statistical and data science techniques including modern statistical languages such as R and Python

Data manipulation and analysis in R and or Python

Building visualisation tools such as Qliksense, Tableau and/or Power BI

Strong understanding of analytical methods and up to date knowledge of data science

Solid insurance knowledge including Lloyd’s, London Market & International Markets

Engagement with senior stakeholders and managing expectations

Driving change, building models, introducing controls, improving processes, implementing systems, encouraging adoption and working cross functionally

Established analytical and quantitative capabilities; programming and data modelling skills

Ability to problem solve and identify and implement process improvements

Time management and communication skills to effectively field competing priorities