
Commercial Lines Data Expert
- Madrid
- Permanente
- Tiempo completo
- Rules Development & Automation:
- Define, code, and test rules for automated processes, including identifying and resolving failures.
- Collaborate with stakeholders to ensure seamless integration of automation solutions.
- Underwriting Efficiency Projects:
- Play a key role in strategic projects aimed at improving underwriting efficiency and effectiveness.
- Leverage in-house AI solutions to streamline workflows and enhance productivity.
- Data Collaboration & Reporting:
- Partner with the Business Intelligence (BI) team to improve data availability for managing underwriting efforts and portfolio capacity.
- Build and deliver timely, accurate, and comprehensive management information (MI) reports on Commercial Lines performance, including migration, production, and data accuracy.
- Process Development & Training:
- Support the development and enhancement of data-driven underwriting processes, such as IIR commission reviews and peer reviews.
- Provide training to underwriters, sales teams, and other stakeholders on renewals triage, portfolio data, and new reporting solutions.
- Database & System Optimization:
- Continuously seek opportunities to improve databases and MI solutions, proposing actionable improvements.
- Manage the transition of work from offline systems to online platforms, including creating work items, monitoring failures, and maintaining dashboards.
- Continuous Learning & Compliance:
- Stay updated on the latest technologies and industry trends to enhance technical skills and maintain professional credentials.
- Operate within the framework of Chubb's ethical and general guidelines.
- Education:
- Bachelor's degree in Insurance, Actuarial Science, Data Science, Business Analytics, Finance, or a related field (or equivalent experience).
- Technical Skills:
- Proficiency in data management tools such as Excel (including macros), Python, R, SQL, QlikSense, and Power BI.
- Familiarity with AI tools and open-source technologies is a strong advantage.
- Professional Experience:
- Proven experience in roles such as Actuary, Data Scientist, Business Analyst, Finance Analyst, or similar positions.
- Strong analytical mindset with the ability to translate data into actionable insights.
- Language Skills:
- Fluent in English (written and spoken).
- Proficiency in an additional language is a plus.
- A curious and innovative thinker who is eager to explore how data can drive business outcomes.
- A proactive problem-solver with a keen eye for detail and a commitment to accuracy.
- A team player who thrives in a collaborative environment and is comfortable engaging with stakeholders at all levels.
- A self-starter who is passionate about leveraging technology to improve efficiency and effectiveness.