01Role Overview
4-5 years of actuarial experience in life insurance. Should have passed 3-6 actuarial exams. Actuarial modelling over any of the tools like GGY-AXIS / MGALFA / Prophet / Polysystems or any other actuarial software, Python, Valuation is Preferred 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 Certification and hands on experience in Python. Good to have exposure in data handling, actuarial modeling, model testing & validation. Good understanding of life and annuity cashflows ;
have a natural inclination towards actuarial modelling and data handling through python 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.
02Key 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 .