Data Analyst- Credit, Financial & Portfolio Analytics - Reinsurance
Welcome to Marsh & McLennan Companies, a leading global professional services firm providing advice and solutions in the areas of risk, strategy, and people. We are currently seeking a highly skilled and analytical Data Analyst to join our team of experts in Credit, Financial, and Portfolio Analytics for our Reinsurance division. In this role, you will play a critical role in analyzing and interpreting data to support our clients in making strategic and informed decisions. We are looking for a candidate with a strong understanding of credit, financial, and portfolio analytics, who is driven to continuously improve and innovate in a dynamic and fast-paced environment. If you are a data-driven individual with a passion for the reinsurance industry, we invite you to apply for this exciting opportunity.
- Conduct thorough analysis and interpretation of data related to credit, financial, and portfolio analytics.
- Collaborate with team members and clients to understand their needs and provide data-driven solutions.
- Develop and maintain complex financial models to aid in decision-making processes.
- Utilize advanced statistical and analytical techniques to identify trends and patterns in data.
- Communicate findings and insights to clients and internal stakeholders in a clear and concise manner.
- Stay up-to-date with industry trends and advancements in credit, financial, and portfolio analytics.
- Continuously improve and innovate data analysis processes and methodologies.
- Ensure data accuracy and integrity through meticulous attention to detail.
- Manage and prioritize multiple projects and tasks in a fast-paced environment.
- Collaborate with cross-functional teams to integrate data from various sources.
- Develop and maintain strong relationships with clients to understand their needs and provide excellent customer service.
- Identify opportunities for process improvement and implement solutions to increase efficiency and effectiveness.
- Adhere to company and industry regulations and compliance standards.
- Train and mentor junior analysts on data analysis techniques and tools.
- Represent the company in a professional manner and uphold its reputation as a leading global professional services firm.
Strong Analytical Skills: A Successful Data Analyst In This Role Should Possess Strong Analytical Skills To Gather, Organize, And Interpret Complex Financial And Credit Data. They Should Be Able To Identify Patterns, Trends, And Relationships In Data To Provide Valuable Insights And Recommendations.
Experience In Credit And Financial Analysis: Candidates Should Have A Proven Track Record Of Conducting Credit And Financial Analysis In The Insurance Or Reinsurance Industry. They Should Have A Deep Understanding Of Credit Risk, Financial Ratios, And Portfolio Management Principles.
Proficiency In Data Analytics Tools: The Ideal Candidate Should Be Proficient In Using Data Analytics Tools Such As Sql, Python, R, And Tableau. They Should Also Have Experience In Data Visualization And Dashboard Creation To Effectively Communicate Insights To Stakeholders.
Knowledge Of Reinsurance Industry: A Strong Understanding Of The Reinsurance Industry And Its Products Is Essential For This Role. Candidates Should Have Knowledge Of Reinsurance Contracts, Risk Transfer Mechanisms, And The Overall Market Landscape.
Communication And Collaboration Skills: As A Data Analyst, The Candidate Will Be Required To Work Closely With Various Teams, Including Underwriters, Actuaries, And Risk Managers. The Ability To Communicate Complex Data In A Clear And Concise Manner And Collaborate Effectively With Cross-Functional Teams Is Crucial For Success In This Role.
Quantitative Research
statistical analysis
Forecasting
Financial Modeling
Data Visualization
Trend Analysis
Data Mining
Risk assessment
Portfolio optimization
Credit Risk Management
Reinsurance Analysis
Communication
Conflict Resolution
Leadership
Time management
creativity
Attention to detail
Teamwork
Positive Attitude
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Analyst- Credit, Financial & Portfolio Analytics - Reinsurance in London, UK is £40,000 to £60,000 per year. This can vary depending on factors such as experience, industry, and company size. Some data analysts in this field may earn salaries above £60,000, while those with less experience or working for smaller companies may earn salaries below £40,000.
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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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