Underwriting Portfolio Analyst EMEA

Chubb; Paris; Sur place; EUR 45 000 - 60 000; Plein temps

Résumé du poste

A global insurance provider is looking for a skilled data analyst to facilitate underwriting analysis and maintain the underwriting MI strategy. This role includes data analysis, portfolio management, and supporting best practices. Candidates must have 2+ years of insurance experience, proficiency in Excel, Dataiku, Python, and Power BI, along with strong analytical and communication skills. An undergraduate degree in a relevant field is required. This position will help enhance decision-making processes and support company growth.

Qualifications

• 2+ years of insurance experience, ideally within a business/data analyst role or an equivalent technical role.
• Ability to manage tight deadlines and priorities.
• Desire to work in a global insurance environment.

Responsabilités

• Facilitate efficient underwriting analysis and maintain the underwriting MI strategy.
• Enhance existing data and MI for decision-making support.
• Analyze and deliver profitability analysis and communicate results to stakeholders.
• Develop global data strategies for pricing and data management.

Connaissances

Proficiency in Excel

Proficiency in Dataiku

Proficiency in Python

Proficiency in Power BI

Highly analytical

Strong problem-solving abilities

Good communication skills

Strong interpersonal skills

Formation

Undergraduate degree in Data Science, Mathematics or similarly numerate subject

Description du poste

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 to 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 role.
• Highly analytical with strong problem-solving abilities and good communication skills.
• Strong interpersonal skills and the ability to work well in a team environment.
• Undergraduate degree in Data Science, Mathematics or similarly numerate subject.
• Ability to manage tight deadlines and priorities.
• Ability 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.