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About the Role
We are looking for a candidate with a strong academic record and industry experience in natural catastrophe and man-made risk modelling and knowledge in (Re)insurance for our Underwriting advisory Team at Bangalore.
You will support costing of Facultative cessions. You are expected to be proficient in Man-made and Nat-cat modeling and hold good knowledge of re/insurance market. We are also looking for someone who has a commercial mindset and strong collaboration skills with dedication and eagerness to learn.
About Team
The Bangalore (BLR) Facultative Team is a strategic offshore advisory hub responsible for providing facultative underwriting support to Property line of business. The team will be working closely with the overseas facultative desk underwriters to provide modeling and costing support on North America property risks.
You get in-depth exposure to Swiss Re's modelling and costing practices, proprietary risk model platforms, costing tools as well as an opportunity to work with Swiss Re's overseas underwriters. In addition to your regular responsibilities, you will have the opportunity to contribute to various projects of strategic importance to Swiss Re Group specifically for North America region.
Provide high quality modelling and costing support to Swiss Re North America underwriting desks which will include but not limited to
You will support Facultative renewals and new business. This includes the reviewing of submission data including risk engineering reports, providing data analysis & risk modelling of Nat Cat and Man-made loss scenarios making best use of SR's costing techniques to model / forecast and quantify the impact of contract features relevant to costing.
Support in product & process innovation using the learnings from underwriting support and suggest improvements to Nat cat models, tools, and systems
Advising underwriters in understanding model results, model differences and limitations
Continuously developing and applying best modeling and costing practices
Collaborating with the underwriting community abroad and other business partners on various projects to generate new value-added services for Swiss Re
Establish & maintain positive relationship with internal partners
About You
Competent in Property re/insurance underwriting, single-risk assessment, risk modelling and contract preparation, with 2-5 years of relevant Underwriting/risk modelling experience
An advanced degree in the field of natural science or a quantitative field (e.g., engineering, statistics, Mathematics, Econometrics) which is closely related to these subject areas
Professional qualification in insurance e.g., CII, CPCU an added advantage
Experience in facility / portfolio underwriting analytics an added advantage
Strong understanding of underwriting techniques, methods, tools, and processes
Ability to analyze large data sets, investigate complex connections and draw meaningful conclusions.
Expertise in Advance Excel (VBA), SQL and Power BI and inclination towards learning new technologies will be an added advantage.
Strong motivation to learn about re/insurance and overseas markets
Strong team-player with proven ability to collaborate with teams in other locations and cultures, along with strong sense of accountability and execution
Excellent command of English (written and spoken).
Above all: scientific and technological curiosity with the ability to bring new ideas to constructively challenge the status quo.
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week
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.
Swiss Reinsurance Company Ltd, commonly known as Swiss Re, is a reinsurance company based in Zurich, Switzerland. It is the world's largest reinsurer, as measured by net premiums written
Job ID: 145473617