Data Analyst- Credit, Financial & Portfolio Analytics - Reinsurance
London - Tower Place West, United Kingdom
Marsh McLennan
Marsh McLennan is the world’s leading professional services firm in risk, strategy and people. We bring together experts from across our four global businesses — Marsh, Guy Carpenter, Mercer and Oliver Wyman — to help make organizations more...Company:
Guy CarpenterDescription:
The analyst plays a crucial role in supporting our brokers by evaluating client portfolios, structuring reinsurance programs, conducting peer comparisons, performing portfolio-wide analytics, and managing various ad hoc financial and analytical tasks. To excel in this position, candidates should have prior experience in the insurance or reinsurance industry.
This role will be based in London. This is a hybrid role that has a requirement of working at least three days a week in the office.
What can you expect?
As an analyst, you will have the opportunity to collaborate with our model vendor to enhance our analytics tools.
You will be responsible for maintaining data models and databases to support reinsurance analytics and reporting.
Identifying opportunities for process automation and optimisation to improve efficiency and scalability will be part of your role.
Staying up to date with industry trends and emerging technologies in reinsurance and data engineering will be encouraged.
You will collaborate closely with clients to ensure the integrity and accuracy of data.
There may be occasional travel required, and we value your ability and willingness to do so.
We will count on you to:
Collect and review reinsurance data.
Cleanse and manipulate data to prepare it for our tools. This includes incorporating suitable assumptions for the given portfolio.
Populate our tool, test it, and review for errors and inconsistencies.
Develop and maintain model documentation, parameterisation, and default probabilities.
Collaborate with external providers to enhance and update our modelling framework, including developing automation where applicable.
Develop a new portfolio solution to enhance our peer review capabilities.
Liaise with analytics and specialists across the division and GC Global Specialties.
Enhance and develop reporting capabilities, including the use of Power BI.
Embrace and utilise big data by leveraging internal and external sources of data and systems.
Contribute to enhancing the division's skills and knowledge in the usage of analytics to empower our advice.
What you need to have:
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Administration, Economics, or a related field.
An understanding of insurance or reinsurance is essential.
Experience in credit, financial, and portfolio analytics is essential.
Proficiency in Python and other programming skills.
Familiarity with SQL for database querying and manipulation.
Understanding of credit, surety, and political risk from underwriting or broking.
A high level of Excel knowledge.
An innovative and creative mindset.
Strong problem-solving skills.
A client-focused approach, both internally and externally.
Effective communication skills.
What makes you stand out?
Alteryx Designer Advanced certification.
Familiarity with reinsurance concepts, terminology, and industry-specific data requirements.
Experience in credit, financial, and portfolio analytics.
Understanding the unique challenges and complexities of reinsurance data.
Effective communication and collaboration skills to work with cross-functional teams, including data scientists and actuaries.
The ability to translate technical concepts into understandable terms for non-technical stakeholders is highly valuable.
Why join our team:
We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Economics Engineering Excel Mathematics Power BI Python SQL Statistics
Perks/benefits: Career development Flex hours Insurance
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