
Data Engineer - Credit, Financial & Portfolio Analytics - Reinsurance
Are you a highly skilled Data Engineer with experience in credit, financial, and portfolio analytics? Do you thrive in a fast-paced and dynamic environment? If so, we have an exciting opportunity for you at Marsh & McLennan Companies.As a Data Engineer for our Reinsurance division, you will play a crucial role in developing and maintaining data solutions for our clients. You will be responsible for analyzing complex data sets, designing and implementing data models, and creating reports and visualizations to support business decision-making.To be successful in this role, you must have a deep understanding of credit, financial, and portfolio analytics, as well as a strong background in data engineering and programming. You should also possess excellent problem-solving skills, attention to detail, and the ability to effectively communicate and collaborate with cross-functional teams.Join our team at Marsh & McLennan Companies and be a part of a global leader in insurance brokerage and risk management. Apply now to become our next Data Engineer for Credit, Financial & Portfolio Analytics in Reinsurance.
- Develop and maintain data solutions for clients in the Reinsurance division.
- Analyze complex data sets to identify trends and patterns.
- Design and implement data models to support business decision-making.
- Create reports and visualizations to present data in a meaningful way.
- Utilize credit, financial, and portfolio analytics expertise to support data engineering tasks.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Ensure data quality and integrity through thorough testing and validation.
- Stay up-to-date with industry trends and advancements in data engineering and analytics.
- Troubleshoot data-related issues and provide timely resolutions.
- Effectively communicate technical concepts and findings to non-technical stakeholders.
- Maintain documentation and provide training to end-users for new data solutions.
- Adhere to data privacy and security regulations and best practices.
- Take ownership of projects and deliver results within tight deadlines.
- Identify and implement process improvements to increase efficiency and effectiveness.
- Act as a mentor and provide guidance to junior data engineers.
Proficiency In Programming Languages Such As Sql, Python, And R.
Bachelor's Degree In Computer Science, Engineering, Mathematics, Statistics, Or A Related Field.
Minimum Of 3-5 Years Of Experience In Data Engineering Or Analytics, Preferably In The Credit, Financial, Or Portfolio Analytics Space.
Strong Understanding Of Data Warehousing, Data Modeling, And Etl Processes.
Experience With Cloud Computing Platforms And Tools, Such As Aws Or Azure, As Well As Data Visualization Tools Like Tableau Or Power Bi.
Risk Management
Sql
Business Intelligence
Data Analysis
statistical analysis
Data Modeling
ETL
Machine Learning
Data warehousing
Credit Analysis
Predictive analytics
Financial
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer - Credit, Financial & Portfolio Analytics - Reinsurance in London, UK is between £70,000 to £100,000 per year. This can vary depending on the specific company, level of experience, and other factors. Some companies may offer higher salaries or additional benefits such as bonuses or stock options. It is important to research and negotiate with potential employers to determine the best salary for your skills and experience.
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Marsh & McLennan Companies, Inc. is a global professional services firm, headquartered in New York City with businesses in insurance brokerage, risk management, reinsurance services, talent management, investment advisory, and management consulting.

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