Max Life Insurance - Manager - Analytics CoE

JOB SUMMARY:

To create data based analytical solutions for business needs in the area of Operations analytics, spanning (underwriting, renewals, recovery, customer service, call centre, persistency, etc) in Life Insurance domain and ensure their integration with business processes to ensure long term gains for the organization.

Role and Expectations

This role is ideal for someone who is:

1. Passionate about solving real business issues using data and has the ability to make sense out of ambiguity

2. Work alongside the business to narrow down on possible answers to the hypothesis provided / business issues articulated

3. To convert a business problem into a statistical problem and figure out most suitable method of solving them

4. Expert knowledge of predictive modeling and analytics techniques

- Should have rich real-world experience in building, implementing and maintaining models such as - regression, decision trees, forecasting, machine learning, neural net, Bayesian, ridge, lasso, etc.

- Should be proficient in SAS

- Hands-on experience on R / Python

- Ability to connect business understanding and statistical techniques

5. Need to manage 2-4 vendor partner team and work across various teams and help them ideate and build models, validate / QC models, monitor model performance and flag out performance deviation

6. Generate output and present findings to Functional owners and SPOCs

7. Explore newer statistical techniques and assess their applicability in MLI

8. Write whitepapers and participate on external forums focusing on new techniques and how MLI is leveraging analytics to solve business problems

9. Has an open mind and willing to experiment by using different approaches to solve business issues and learn from these experiments

Who are we looking for

1. Msc. Statistics, Msc. Mathematics, M.Tech, MBA, Engineers with Tier 1 colleges (IITs/NSIT) with at least 3 years of experience in consulting/analytics

2. Expertise on SAS and Statistical modelling techniques is mandatory

3. Hands-on experience on R or Python is mandatory

4. Extremely comfortable with working with large data sets and bringing out insights from Data. Critical to connect the dots and develop the big picture

5. High attention to detail combined with an ability to work in a fast paced environment with minimal guidance.

6. Having worked in Life Insurance / Banking domain is a major plus.

7. Excellent stake-holder management skills needed