Property Treaty Underwriting Advisor

Swiss Re; Bengaluru; Hybride; INR 1 400 000 - 2 000 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Résumé du poste

Swiss Re in Bengaluru seeks a Property Treaty UW Advisor to join the APAC underwriting analytics team. You will deliver NatCat costing, model portfolios, and advise underwriters across global desks, shaping pricing and risk understanding.

We require a strong quantitative background, 3–5+ years in re/insurance, and hands-on CAT modelling with RMS/AIR/EQCAT. A hybrid work model with in-office presence aligns with our collaborative culture.

Qualifications

• University degree in a natural science or quantitative field such as Statistics, Engineering, or Earth Sciences
• 3–5+ years of experience in the insurance or reinsurance industry, with strong knowledge of NatCat modelling and hands-on experience with CAT modelling tools such as RMS, AIR, or EQCAT
• Strong programming skills including proficiency in SQL, VBA, R, or Power BI for data analysis and model development
• Deep understanding of insurance and reinsurance concepts, including treaty structures, exposure management, and pricing frameworks
• Proven track record of delivering complex analytical results to internal or external clients in a clear, actionable manner

Responsabilités

• Deliver high-quality NatCat costing by analyzing property exposure data and providing underwriting advisory support to global underwriting desks
• Model property portfolios using Swiss Re's internal and external risk assessment tools, including Risk Link, MultiSnap, and GRP
• Advise and guide underwriters in interpreting model results, understanding model differences, and navigating model limitations
• Collaborate on benchmarking and pricing of reinsurance contracts, working closely with underwriters to develop robust costing solutions
• Champion best practices in modelling and costing by continuously developing and applying the latest methodologies
• Partner with the global underwriting community and business partners on projects that generate valuable services and insights for Swiss Re
• Drive model improvement by leveraging findings from underwriting analyses to enhance NatCat models and tools
• Build sophisticated analytics and client services by extracting meaningful insights from large and complex datasets

Connaissances

NatCat modelling

CAT modelling tools (RMS, AIR, EQCAT)

SQL

VBA

R

Power BI

Pricing frameworks

Exposure management

Formation

University degree in natural science or quantitative field (Statistics, Engineering, Earth Sciences)

Outils

Risk Link

MultiSnap

GRP

RMS

AIR

EQCAT

Description du poste

Property Treaty UW Advisor

Are you passionate about the science of risk? Do you thrive at the intersection of natural catastrophe modelling, reinsurance, and cutting-edge analytics? If you're ready to bring your expertise to a global stage and make a real impact on how the world manages risk, this could be the perfect next step in your career.

About the Role

Join Swiss Re's Property Treaty Underwriting Advisory group in Bangalore as a Property Treaty UW Advisor. This is a rare opportunity to immerse yourself in the fast-paced, intellectually stimulating world of natural catastrophe reinsurance — working with Swiss Re's proprietary risk modelling platforms and collaborating with underwriting desks across the globe. You'll play a pivotal role in shaping how risk is understood, priced, and managed for some of the world's most complex property portfolios.

Key Responsibilities

• Deliver high-quality NatCat costing by analyzing property exposure data and providing underwriting advisory support to global underwriting desks
• Model property portfolios using Swiss Re's internal and external risk assessment tools, including Risk Link, MultiSnap, and GRP
• Advise and guide underwriters in interpreting model results, understanding model differences, and navigating model limitations
• Collaborate on benchmarking and pricing of reinsurance contracts, working closely with underwriters to develop robust costing solutions
• Champion best practices in modelling and costing by continuously developing and applying the latest methodologies
• Partner with the global underwriting community and business partners on projects that generate valuable services and insights for Swiss Re
• Drive model improvement by leveraging findings from underwriting analyses to enhance NatCat models and tools
• Build sophisticated analytics and client services by extracting meaningful insights from large and complex datasets

About the Team

The Property Treaty UW Advisory, APAC team is a specialist group dedicated to delivering high-quality underwriting analytics — with a primary focus on NatCat costing and occasional Fire costing — to various underwriting desks across Swiss Re's Americas region. The team plays a critical role in enabling underwriters to make well‑informed, data‑driven decisions on complex reinsurance portfolios. Working at the heart of Swiss Re's global risk assessment capabilities, the team combines deep technical expertise with a collaborative, client‑focused approach to drive meaningful outcomes for the business.

About You

You are a curious, analytically driven professional who thrives in a complex, global environment. You bring a strong scientific foundation, a passion for problem‑solving, and the ability to communicate sophisticated technical insights to diverse audiences. You take ownership of your work, embrace collaboration, and are motivated by the opportunity to continuously learn and innovate. You are comfortable navigating ambiguity, managing multiple priorities, and delivering high‑quality results — even under pressure.

Requirements

• University degree in a natural science or quantitative field such as Statistics, Engineering, or Earth Sciences
• 3-5+ years of experience in the insurance or reinsurance industry, with strong knowledge of NatCat modelling and hands‑on experience with CAT modelling tools such as RMS, AIR, or EQCAT
• Strong programming skills including proficiency in SQL, VBA, R, or Power BI for data analysis and model development
• Deep understanding of insurance and reinsurance concepts, including treaty structures, exposure management, and pricing frameworks
• Proven track record of delivering complex analytical results to internal or external clients in a clear, actionable manner

Nice to Haves

• An active interest in building and improving costing and pricing techniques for (re)insurance products
• Demonstrated ability to lead or manage multiple projects simultaneously, including cross‑functional collaboration
• Familiarity with InsurTech trends, competitor analysis, and evolving insurance market dynamics
• Exceptional interpersonal and communication skills — both written and verbal — with the ability to engage confidently in a global, multicultural setting
• A scientific and technological curiosity with a track record of bringing new ideas and constructively challenging 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.

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. We cover both Property & Casualty and Life & Health. 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.

Keywords: Reference Code: 139756 Experience Level Mid Level