Marsh McLennan Logo

Marsh McLennan

Data Engineer - Credit, Financial & Portfolio Analytics - Reinsurance

Posted 2 Days Ago
Be an Early Applicant
Lower Place, London, England
Mid level
Lower Place, London, England
Mid level
The Data Engineer will develop and maintain data pipelines and systems for client portfolio evaluation and reinsurance analytics. Responsibilities include designing data models, automating processes, collaborating with clients, and enhancing analytics tools, while ensuring data integrity and accuracy.
The summary above was generated by AI

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?

  • As a Data Engineer, you will collaborate with our model vendor to enhance our analytics tools and infrastructure.

  • You will be responsible for designing, implementing, and maintaining data models and databases that support reinsurance analytics and reporting.

  • You will be Identifying opportunities for process automation and optimisation to improve efficiency and scalability will be a key part of your role.

  • Staying up to date with industry trends and emerging technologies in reinsurance and data engineering.

  • You will work closely with clients to ensure the integrity and accuracy of data throughout the data lifecycle.

  • Occasional travel may be required, and we value your ability and willingness to do so.

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, incorporating suitable assumptions for the given portfolio.

  • 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, including developing automation where applicable.

  • Create new data solutions to enhance our peer review capabilities.

  • Liaise with analytics specialists across the division and GC Global Specialties 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 to empower our advice.

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, both internally and externally.

  • Effective communication skills.

What makes you stand out?

  • Alteryx Designer Advanced certification.

  • Experience in credit, financial, and portfolio analytics.

  • 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 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.

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 across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit guycarp.com, or follow on LinkedIn and X.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 of age background, civil partnership status, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at [email protected].

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Top Skills

Alteryx
Power BI
Python
SQL

Similar Jobs

5 Hours Ago
London, Greater London, England, GBR
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
The Data Scientist will analyze and visualize financial and operational data, build predictive models, and leverage machine learning to support strategic decision-making. They'll work with finance and product teams to enhance operational efficiency and provide insights that drive business performance.
5 Hours Ago
London, Greater London, England, GBR
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
The Senior Data Analyst - SEO Content at Wise will analyze SEO data to enhance web presence and organic search performance. Responsibilities include tracking SEO growth, optimizing data tools, improving keyword tracking, leveraging web scraping, and collaborating with teams to set and monitor objectives.
5 Hours Ago
London, Greater London, England, GBR
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
The Senior Data Scientist in the Marketing Team at Wise will develop predictive models for Customer Lifetime Value and Marketing Mix Modeling, aiding strategy in marketing efforts. Responsibilities include analyzing customer behavior data, measuring campaign effectiveness through causal models, and collaborating with data analysts to drive marketing growth. The role emphasizes autonomy in project execution and impactful contribution to marketing strategies.

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account