Sr Treaty Underwriting Analyst
Location: Mexico City, MX
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.
Key Responsibilities
- 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 to costing tools
- Communicate directly with clients, clarify, and follow up on any issues and potentially be part of negotiations
- Enter contractual deal information into systems for consumption by other functions, such as Finance, Accounting, Claims and Reserving
- Lead initiatives with regional / global impact
- Develops role & junior colleagues
- Shares knowledge and drives improvements within XFT
About the team
We are a friendly and diverse group of individuals located in Mexico, USA and Brazil with varying levels of experience in the reinsurance industry. We support Latin 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 5 years of experience within the Property (Re)insurance industry
- Data savviness and attention to detail, high level of confidence/practical know-how in working with large data files (e.g., NatCat data), MS excel expert skills
- Competent in Microsoft 365 suite, i.e., Power BI, Sharepoint, Powerpoint and Word
- Strong communication and interpersonal skills. Especially competence in English
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
- Strong sense of responsibility, proactive approach, can-do attitude and willingness to go extra mile
- Ability to think independently and suggest appropriate actions to CUW and UWC community
Our company uses a hybrid work model requiring at least three days in the office each week, with the option to work onsite full-time if preferred. This position is not eligible for full-time telework or visa sponsorship.
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.
Reference Code: 138425