Vice President - Analytics/Actuarial - KPO

- Minimum 10 years' of actuarial experience in life insurance.

- Should be an Fellow/ Qualified actuary of IFoA, SoA or IAI.

- Experience of working in international markets such as US, UK is preferred. Good working knowledge of PBR, LDTI, IFRS17, Solvency II is mandatory.

- Must have exposure in actuarial modeling, model testing & validation.

- Must have exposure to at-lest one actuarial software such as MG-Alfa, GGY Axis, Prophet. Experience in Python, R, Matlab 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, demonstrated leadership qualities.

- Must contribution towards new business development such as assessing pain areas for our clients, generating solutions for clients

- Assist in learning and development of team members

- 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

- Manage a team of 15-20 actuaries and data scientist.

- Initiate and lead process transformation/automation initiative.

- Provide coaching to team on build actuarial models for annuities, retirement, term product etc.

- Provide coaching to team on build testware, challenger model and 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. Preferably fellow or a qualified associate actuary.

- At least 8+ years' experience, with good understanding of Life products - pricing, modeling, Model testing and valuation

Exposure to US life insurance market is preferable.

- Experience of working in international markets such as US, UK is preferred. Good working knowledge of PBR, LDTI, IFRS17, Solvency II is mandatory.

- Must have exposure in actuarial modeling, model testing & validation.

- Must have exposure to at-lest one of the actuarial software such as MG-Alfa, GGY Axis, Prophet.

- Experience in Python, R, Matlab 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