Actuarial Analytics – Property & Casualty Pricing / Reserving – General Insurance – 2+ Years - Gurugram
Location - Gurugram
We are looking for candidates who have cleared at least 4+ papers in Actuarial science with minimum 2+ years of experience in P&CActuarial pricing / reserving. If you are an actuarial profession with the required skill set, then this opportunity is for you.
Location- Gurugram
Your Future Employer- A worldwide provider of analytics and digital solutions catering to various sectors such as insurance, healthcare, banking and finance, media, retail, and more.
Role and Responsibilities
Predictive modeling based GLM for personal and commercial lines
Data extraction and data manipulation in SQL/R
Building the loss cost models in Emblem by applying the GLM technique
Collaborating with the internal team and clients on analytics projects for general insurance related to pricing/claim analysis for personal and commercial lines of business
Requirements:
Minimum of 2+ years of work experience in Actuarial Domain
Experience in General Insurance Lines of Business
4+ Actuarial exams cleared
Working experience in actuarial pricing modelling role
Should have worked in GLM modelling, Emblem/Radar
What is in it for you-
A stimulating working environment with equal employment opportunity
Growing skills while working with industry leaders and top brands
A meritocratic culture with great career progression
Reach us- If you think this role is aligned with your career, kindly write me an email along with your updated CV on vibha.singh@crescendogroup.in for a confidential discussion on the role.
Disclaimer: Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, colour, origin, gender, sexual orientation, age, marital status, veteran status or disability status.
Note: We receive a lotof applications on a daily basis so it becomes difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don’t hear back from us in 1 week. Your patience is highly appreciated.
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