Responsibilities: Key Responsibilities:
Complete understanding of the current state of affairs and problem statement
Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing actuarial solutions
Work on transformation/automation initiative.
Build actuarial models for life insurance products.
Perform UAT testing, Unit testing, regression testing etc. for Actuarial model testing & validation.
Excellent written and verbal communication skills
Qualifications: Candidate Profile:
Bachelor’s/Master's degree in economics, mathematics, actuarial sciences.
Affiliation to IAI, SoA or IFOA.
At least 6-10 years’ experience, with good understanding of Life products - pricing, experience studies, modeling, reserving and valuation.
Exposure to US life insurance market is preferable.
Experience of working in international markets such as US or India. Good working knowledge of US-GAAP LDTI is preferable but not mandatory.
Exposure to polysystem, MG Alpha, Prophet and/or any other modelling tool will be an added advantage. Experience in SQL/Python/R is desirable but not mandatory.
Strong ability to learn technical and business knowledge.
Superior analytical and problem solving skills.
Outstanding written and verbal communication skills.
Able to work in fast pace continuously evolving environment and ready to take up uphill challenges.
Is able to understand cross cultural differences and can work with clients across the globe.