Role purpose :

The purpose of this role is to facilitate efficient underwriting analysis whilst developing and maintaining the underwriting MI strategy to support growth, enhance retention, help identifying underwriting strategies that safeguard profit margins. Key functions include data analysis and data management, producing regular MI, maintaining Rate Tables and relativities, supporting Underwriting with portfolio management, training, product development, governance & pricing.

Key Responsibilities :

Data Analysis and data management: Enhancing existing data and MI to improve existing rating and monitoring to support the decision-making process. Ensuring new data is explored and available data is not lost by managing its storage, quality and accessibility Analysing and reviewing available data to carry out and deliver profitability analysis, interpreting the output and communicating the results to key stakeholders Interacting regularly with the analytics team; contributing to implement analytical processes do monitor new schemes’ performances and maintain them with the aim of providing timely, accurate insights to relevant stakeholders Liaising with BI, underwriting, claims, finance, operation and IT functions
  Pricing: In conjunction with our predictive analytics, actuarial and data management teams, develop and help drive global data strategies to improve pricing sophistication, data management, data analytics, rate optimization and management reporting.
  Data led Portfolio Management: Support portfolio management  Analysis would include but not be limited to segmentation of portfolio. Identify specific poor performing segments; review of overhead and acquisition expenses; review of claim reports/activity; review of portfolio by producer.
  Projects, Data Initiatives, Product development: Support regional and Home Office UW project initiatives. Support product development initiatives alongside Underwriting Integration and consolidation of underwriting profitability, pricing segmentation and revenue maximization models to optimize yield management and sustainable profit Support underwriting and data analytics in conjunction with global and regional digital underwriting and analytic teams to help accelerate and optimize digital distribution
  Best Practices & Training: In conjunction with COG and analytic teams, support development and implementation of global best practices pertaining to data analytics, rating models and rate optimization. In conjunction with COG, develop, implement and maintain underwriting guidelines and policy and procedures
 

Experience :

Proficiency in Excel, Dataiku, Python and Power BI is required 2+ years of insurance experience, ideally within business / data analyst role or an equivalent technical roleHighly analytical with strong problem-solving abilities and good communication skillsStrong interpersonal skills and the ability to work well in a team environmentUndergraduate degree in Data Science, Mathematics or similarly numerate subject Ability to manage tight deadlines and prioritiesAbility to provide quality service to clients, internal and external.Desire to work in a global insurance environment.

Qualifications : 

Undergraduate degree in Data science, Mathematics or similarly analytical and technical subjects Fluency in English is mandatory