Underwriting Portfolio Analyst EMEA

Chubb; Paris; Sur place; EUR 40 000 - 55 000; Plein temps

Résumé du poste

A global insurance firm in Paris is seeking a qualified candidate to support underwriting analysis and develop data strategies. This role involves data management and analysis, interacting with various teams, and implementing best practices in data analytics. Candidates should have a degree in Data Science or Mathematics and at least 2 years of relevant experience. Strong analytical and communication skills are essential. The position offers an opportunity to work in a dynamic, global environment.

Qualifications

• 2+ years of insurance experience in a business/data analyst role.
• Desire to work in a global insurance environment.
• Ability to manage tight deadlines and priorities.

Responsabilités

• Facilitate efficient underwriting analysis supporting growth.
• Enhance existing data and MI for better decision-making.
• Develop global data strategies for pricing sophistication.

Connaissances

Proficiency in Excel

Dataiku

Python

Power BI

Analytical skills

Problem-solving ability

Interpersonal skills

Communication skills

Formation

Undergraduate degree in Data Science

Undergraduate degree in Mathematics

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
• 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.
• 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.
• Support regional and Home Office UW project initiatives.
• 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

Qualifications

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