Data Analyst - Credit, Financial & Portfolio Analytics - Reinsurance

GB001 Marsh Ltd

Data Analyst - Credit, Financial & Portfolio Analytics - Reinsurance

£25000

GB001 Marsh Ltd, Tower, City and County of the City of London

  • Full time
  • Permanent
  • Onsite working

Posted today, 18 Sep | Get your application in now to be one of the first to apply.

Closing date: Closing date not specified

job Ref: 187fb4314bfa47d88b2a56bcecbffbbf

Full Job Description

The analyst supports the brokers in the evaluation of client portfolios, the structuring of reinsurance programmes, peer comparisons, portfolio wide analytics as well as ad hoc financial and analytical tasks.

What can you expect?

The analyst will continue to work with our model vendor in enhancing our analytics tools.

Maintain data models and databases to 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.

Collaborate with clients to ensure the integrity and accuracy of data., Collect and review data.

Cleanse and manipulate data to prepare it for our tools. This includes bringing in suitable assumptions for the given portfolio.

Populate our tool and test and review for errors and inconsistencies.

Develop and maintain model documentation, parametrisation, and default probabilities.

Work with external provider in enhancing and updating our modelling framework including develop automatisation 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 use of Power BI.

Embrace and develop big data by utilising internal and external sources of data and systems.

Enhance the division's skills and knowledge in the usage of analytics to empower our advice.

Experience in credit, financial and portfolio analytics.

Python and other programming skills.

Understanding of credit, surety and political risk from underwriting or broking.

Understanding of reinsurance would be preferable.

High (expert) level of Excel knowledge.

Innovative and creative.

Solution finding and problem solving.

Client focused - internal and external.

Articulate communicator.

What makes you stand out?

Alteryx Designer Advanced certification.

Familiarity with reinsurance concepts, terminology, and industry-specific data requirements.

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 valuable.

is a leading global risk and reinsurance specialist with more than 3,500 professionals in over 60 offices around the world.

Guy Carpenter delivers a powerful combination of broking expertise, trusted strategic advisory services and industry-leading analytics to help clients adapt to emerging opportunities and achieve profitable growth.

Guy Carpenter is a business of (NYSE : MMC), the world's leading professional services firm in the areas of risk, strategy and people.

The company's 85,000 colleagues advise clients in over 130 countries. With annualized revenue of over $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading companies including , and .

We offer and embrace a hybrid working model that nurtures a collaborative working environment in the office 3 days per week allowing 2 days per week to be spent working on a remote basis.

Competitive benefits package including : 27 days annual leave, up to 4 days flexible bank holidays, excellent pension contributions, private medical cover, life assurance, income protection, employee assistance program, plus a range of flexible benefits including the option to buy or sell up to 5 days holiday per year, cycle to work, gym membership, dental insurance, health assessments plus many more.

Generous Family Leave including : 6 months paid maternity leave, 4 months paid paternity leave, 6 months paid adoption leave plus shared parental leave options.