Predictive Analytics Modeling - Pricing/Actuarial - Insurance

Pricing/ Actuarial

Job Description :

- Consulting on new strategies in areas including (but not restricted to) analytics, statistics, predictive modelling and actuarial science

- Providing expertise in Predictive Analytics Modeling - in the area of Pricing (loss modeling); U/W or Claims in the Insurance industry (P&C and/or Life Insurance).

- Articulating the client's key business problems and help in implementing analytics solutions, interpreting results, generating insight and recommending strategies.

- Managing work in a multi geography environment esp. in the context of onsite/offshore model

- Contributing to thought leadership and strategic internal initiatives.

- Apprising the stakeholders about project(s) status on a regular basis

- Giving regular feedback to the offshore team on the project progress and ensuring that the project

Desired Skills and Experience :

- Strong knowledge of Property & Casualty and/or Life insurance domains as well as their associated compliance and regulatory environments

- Should have prior experience in developing insurance analytical models. Hands-on experience with insurance operations is desirable.

- Desirable to have worked in the analytics department in an insurance company, or as a analytics consultant to an insurance company

- Knowledge of SAS/R/SPSS is necessary. Knowledge of actuarial tools such as Emblem, Earnix, Moses, Prophet, etc. are desirable but not mandatory for all positions

- Demonstrated Project Management skills; PMP certification preferred

- Effective analytical, oral and written communication and presentation skills, including in development of PowerPoint presentations.

- Very good interpersonal skills and positive attitude

- Experience in a Client-facing role.

- Self-driven individual with a strong passion for innovation and result-driven mindset.

- Experience working as part of an onshore/offshore model is preferred

- BS/MS/MBA/PhD in Statistics, Math, Engineering, Economics, Social Sciences,