Lead Assistant Manager/Manager - Actuarial - Life Insurance

Role Overview:

- 3-5 years' of actuarial experience in life insurance.

- Should have passed atleast 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 3-5 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.