Posted By

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Madhuri Singh

HR at WNS Global Services

Last Login: 22 March 2019

5184

JOB VIEWS

319

APPLICATIONS

23

RECRUITER ACTIONS

Posted in

Consulting

Job Code

696332

WNS - Catastrophe Modelling Role - Reinsurance

2 - 5 Years.Gurgaon/Gurugram
Posted 4 years ago
Posted 4 years ago

Key responsibilities

- Review and interpret exposure data and assess fitness for use for reinsurance catastrophe modelling, CAT modeling and accumulation, using vendor models and internally developed models and tools for catastrophe perils.

- Maintain reinsurance catastrophe modelling systems and manage analysis workflow.

- Support treaty reinsurance pricing and accumulation control process, peer review of treaty modelling results.

- Communicate relevant information such as treaty loss results, exposure and loss analytics, and key drivers of risks to underwriters and senior managers.

Required skills

- Expertise in the areas of catastrophe modeling, data quality and pricing for Commercial Property business. Knowledge of application of various types of treaty programmes and reinsurance business mechanism and workflow.

- Advanced aptitude with RMS's RiskLink platform and allied vendor models. Exposure to accumulation management and regulatory reporting procedures like portfolio roll-up, quarterly cat reporting, RDS, LCM, Outwards Reinsurance, etc.

- Good understanding of model inputs and ability to provide rationale behind changes in exposure/modelled losses.

- Competency in MS Excel, MS Access and MS SQL Server

- Ability to work under time pressure and within a globalized team framework

Education and experience

- Bachelor's in quantitative subjects such as mathematics, actuarial science, engineering, etc.

- 2-5 years of relevant industry experience in Catastrophe Modelling function

- Knowledge of reinsurance treaty modelling.

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Posted By

user_img

Madhuri Singh

HR at WNS Global Services

Last Login: 22 March 2019

5184

JOB VIEWS

319

APPLICATIONS

23

RECRUITER ACTIONS

Posted in

Consulting

Job Code

696332

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