2-8 years' of actuarial experience in life insurance.
Should have passed 4-5 actuarial exams.
Experience of working in international markets such as US. Experience with Indian market will also be preferred. Good working knowledge of US-GAAP LDTI is preferable.
Must have exposure in data handling, actuarial modeling, model testing & validation.
Experience working with GGY Axis and Prophet can be considered depending on experience. Experience in SQL/Python/R is desirable but not mandatory.
Advanced life insurance and actuarial knowledge, strong technical, analytical, problem solving and interpersonal skills, effective communicator to superiors, peers and subordinate, good command of the English language.
Must contribute towards new business development such as assessing pain areas for our clients, generating solutions for clients.
Identify and participate in continuous improvement initiatives.
Ensure compliance with Data Privacy and Protection Guidelines.
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
Candidate Profile
Bachelor's/Master's degree in economics, mathematics, actuarial sciences.
Affiliation to IAI, SoA or IFOA.
At least 2-8 years' experience, with good understanding of Life products - pricing, 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.
Must have exposure in actuarial modeling, model testing & validation.
Exposure to polysystem, Prophet and/or any other modelling tool can be considered. 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.
