Underwriting Portfolio Analyst EMEA

Chubb; Paris; Sur place; EUR 40 000 - 80 000; Plein temps

Résumé du poste

An established industry player is seeking a skilled data analyst to enhance underwriting strategies and support growth through effective data management and analysis. This role involves collaborating with various teams to develop insights that drive profitability and optimize pricing models. The ideal candidate will possess strong analytical skills, proficiency in tools like Excel and Python, and a desire to thrive in a global insurance environment. Join this innovative firm to make a significant impact in the insurance sector while working in a collaborative and dynamic team atmosphere.

Qualifications

• 2+ years of insurance experience in a business/data analyst role.
• Proficient in Excel, Dataiku, Python, and Power BI.

Responsabilités

• Conduct data analysis and management to support underwriting decisions.
• Develop global data strategies to enhance pricing and reporting.

Connaissances

Excel

Dataiku

Python

Power BI

Analytical Skills

Problem-Solving

Communication Skills

Interpersonal Skills

Formation

Bachelor in Data Science

Bachelor in Mathematics

Outils

Data Management Systems

Business Intelligence Tools

Description du poste

The purpose of this role is to facilitate efficient underwriting analysis whilst developing and maintaining the underwriting MI strategy to support growth, enhance retention, and help identify 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, and 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.
• Identifying specific poor performing segments; reviewing overhead and acquisition expenses; reviewing claim reports/activity; reviewing 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 policies and procedures.

Qualifications

Experience:

• Proficiency in Excel, Dataiku, Python, and Power BI is required.
• 2 years of insurance experience, ideally within a 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.

Required Experience:

Key Skills:

Employment Type: Full-Time

Experience: years

Vacancy: 1