Treaty Underwriting Analyst

 Posted 6 hours ago
  
 Mexico
  
2-5 years experience
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AI Summary

The role is split between business coordination and underwriting analysis, focusing on overseeing portfolio operations and ensuring statutory compliance. Key tasks include analyzing treaty exposure data, managing deal lifecycles, and collaborating with clients to ensure accurate underwriting decisions.

You could be pioneering a new role with us within Reinsurance Business Operations. Your challenge would be increasing our support for Reinsurance Property & Casualty Markets underwriting and client management. You would be energized by managing multiple priorities and deadlines with potential for high financial impact and choosing where and how you work.

 

About the role

 

You would work closely with Underwriting, supporting with deal acquisition activities/analysis and portfolio overviews, and ensuring that decisions are made based on the most up-to-date and reliable information.  You would also be responsible for overall business coordination of an assigned business segment, including ensuring statutory and internal control guidelines are met.

This is a dual-focus role: 50% Business Coordination | 50% Underwriting Analyst

 

Key Responsibilities

 

Business Coordination:

 
  • Oversee day-to-day business operations for an assigned portfolio segment, ensuring compliance with statutory requirements and internal control standards.
  • Verify contract terms and conditions against agreed deal parameters and internal guidelines
  • Track deal lifecycle milestones and ensure timely handoffs across functions
  • Escalate operational risks or data quality issues proactively to maintain a strong governance environment
  • Partner with global colleagues to align best practices and consistent standards across markets
  • Enter contractual deal information into systems for consumption by other functions, such as Finance, Accounting, Claims and Reserving
 

Underwriting Analyst:

 
  • Check contract terms and conditions, analyze submission data, investigate, and resolve data issues, review, and report treaty exposure data (Year-over-Year developments, material changes) and load information on costing tools
  • Communicate directly with clients, clarify, and follow up on any issues and potentially be part of negotiations
  • Analyze submission data and resolve discrepancies to ensure accuracy in underwriting and costing tools
  • Review treaty exposure data including Year-over-Year developments and report material changes to underwriting teams. Load and maintain up-to-date information in costing tools for reliable downstream use
  • Engage directly with clients to clarify data queries and follow up on outstanding items
  • Support portfolio overviews and data-driven analysis to enable informed underwriting decisions
 

About the team

 

We are a friendly and diverse group of individuals located in U.S., Canada, Mexico, and Brazil with varying levels of experience in the reinsurance industry.  We support North America Property and Casualty Reinsurance teams and units in delivering on their core mandates.  We are part of a global team called Reinsurance Business Operations, and we work closely with our colleagues all over the globe.

 

About you

 

You’re a strategic and creative thinker when dealing with challenges and opportunities. Your strong interpersonal skills make it easier for you to work within a team. Flexibility and curiosity play a role in your ability to learn new skills quickly.

 

Essentials

 
  • University graduate with a degree in natural science or a quantitative field (Economics, Statistics, Engineering, Actuarial Sciences)
  • Minimum three years of experience within the Property & Casualty (Re)insurance industry
  • Data expertise and attention to detail, high level of confidence/practical know how in working with large data files (e.g., Modelling data), MS excel expert skills
  • Competent in Microsoft 365 suite, i.e., Power BI, SharePoint, PowerPoint and Word
  • Strong analytical and problem-solving skills, with the ability to investigate data issues, identify root causes, and communicate findings clearly to stakeholders
 

Nice to Haves

 
  • Data modelling and/or previous underwriting experience
  • Ambitious and energetic, seeking out new solutions and ways of working
  • Adaptable thrive in a work environment where new relationships and projects constantly emerge
  • Adeptly prioritize competing tasks and manage timelines
  • Experience working in cross-functional or geographically dispersed teams, collaborating across time zones and cultures
  • Familiarity with reinsurance systems or platforms used in deal entry, exposure tracking, or portfolio reporting
 

About Swiss Re

 

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

 

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

 
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Reference Code: 138851 
   

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