Manager/Senior Manager - Analytics - Insurance Domain

Campaign Performance Analysis (Marketing Analytics for Insurance Domain) & Experience Analysis Studies (Portfolio Quality Assessment) involving Data Mining, Data Collation, Data Preparation & Deep-Dive Strategic Analysis using SAS.

Forecasting Time-Series techniques like ARIMA, techniques of smoothening, de-trend & seasonality analysis

- Cluster Analysis like CHAID, CART

- Segmentation Techniques - ANOVA, Factor Analysis (FCA), Principal Component Analysis (PCA);

Lapse Curve Analysis & Claims Count Forecast: Use of Count Data Models to forecast data patterns with right skew.

Analysing the historical patterns (across the US states/across cover and product categories) in the behavior of risk metrics viz: loss ratios, claims frequency, premiums, risk earned premiums, etc

Creating business-mix for exposures and claims paid spread over the age group 18-70 years across pay-frequencies to enable differential pricing (as an input to the assumptions team.)

- Performing exposure and claim behaviour pattern analysis using SAS.

Proficiency in either SAS or R.

Level : Manager / Sr Manager