Data Engineer – Credit, Financial & Portfolio Analytics – Reinsurance
Company:
Guy Carpenter
Description:
The Data Engineer plays a crucial role in supporting our brokers by developing and maintaining robust data pipelines and systems that facilitate the evaluation of client portfolios, structuring of reinsurance programs, and conducting comprehensive portfolio-wide analytics.
What can you expect?
- Collaborate with our model vendor to enhance our analytics tools and infrastructure.
- Design, implement, and maintain data models and databases that support reinsurance analytics and reporting.
- Identify opportunities for process automation and optimisation to improve efficiency and scalability.
- Stay up to date with industry trends and emerging technologies in reinsurance and data engineering.
- Work closely with clients to ensure the integrity and accuracy of data throughout the data lifecycle.
- Occasional travel may be required.
We will count on you to:
- Design and implement data collection and processing systems.
- Cleanse, transform, and manipulate data to prepare it for analytical tools.
- Populate and maintain our analytics tools, ensuring they are tested for errors and inconsistencies.
- Develop and maintain model documentation, parameterization, and default probabilities.
- Collaborate with external providers to enhance and update our modelling framework.
- Create new data solutions to enhance our peer review capabilities.
- Liaise with analytics specialists across the division to ensure data alignment and integrity.
- Enhance and develop reporting capabilities, including the use of Power BI and other visualisation tools.
- Embrace and utilise big data by leveraging internal and external data sources and systems.
- Contribute to enhancing the division’s skills and knowledge in the usage of analytics.
What you need to have:
- A solid understanding of insurance or reinsurance is essential.
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Administration, Economics, or a related field.
- Familiarity with SQL for database querying and manipulation.
- Proficiency in Python and other programming languages relevant to data engineering.
- Understanding of credit, surety, and political risk from underwriting or broking perspectives.
- An innovative and creative mindset.
- Strong problem-solving skills.
- A client-focused approach.
- Effective communication skills.
What makes you stand out?
- Alteryx Designer Advanced certification.
- Experience in credit, financial, and portfolio analytics.
- Familiarity with reinsurance concepts and industry-specific data requirements.
- Understanding the unique challenges and complexities of reinsurance data.
- Effective communication and collaboration skills.
- The ability to translate technical concepts into understandable terms for non-technical stakeholders.
Why join our team:
- Professional development opportunities and interesting work.
- A vibrant and inclusive culture.
- A range of career opportunities and benefits to enhance your well-being.
Guy Carpenter, a business of Marsh McLennan (NYSE: MMC), is a leading global risk advisory and reinsurance specialist and broker. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries. For more information, visit guycarp.com.
Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity in all forms. We are an equal opportunities employer.
Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration benefits of working together in the office.
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Contact Detail:
Marsh & McLennan Companies, Inc. Recruiting Team