Executive/Senior - Predictive Modeling - Life & General Insurance Domain - Big4

Main Purpose of the Role:

Applies advanced statistical techniques to develop predictive models for Life and general insurance along with displaying strong team players skills.

Accountabilities and Responsibilities:

- Applies advanced statistical techniques to develop and/or update predictive models for use in one or more business areas of financial services like banking(CCAR modeling), insurance(claims and pricing analytics), customer analytics and agent analytics.

- Formulates model data requirements and specifications for medium to large sized projects; helps drive the model development process and strategy.

- Drives the research and recommended solutions to complex business issues; makes recommendations on model inputs and end products.

- Consults with the business, as appropriate, on predictive modeling solutions.

- May provide guidance and/or coordinate the work of less experienced modelers.

Qualifications/Certifications/Special Training required

- MS in a quantitative field (statistics, mathematics, economics, actuarial science etc)/B-Tech with exp of 3- 7 yrs

- 3-7 years of experience in predictive modeling

- Domain - Financial services(banking, insurance etc)

Candidate Specifications:

- Have worked on multiple predictive modeling project majorly in financial services domain

- Strong hold on statistics and predictive modeling techniques like Logistic, GLM, machine learning algorithms

- Manage and handled large datasets

- Ability to understand complex data

- Demonstrated experience sharing insights and recommendations to audiences with varying levels of analytic understanding

- Expertise in working on analytical tools like SAS, R

- Advanced MS Excel Skills

- Excellent communication (both verbal and written) and interpersonal skills

- Good team player