Max Life Insurance - Manager/Deputy Manager - Analytics CoE - IIT/NIT/BITS/NSIT

JOB DESCRIPTION :

Location : Gurgaon - HO

Job Title : Manager/DM - Analytics CoE

Band : 4/3b

Reporting To : Chief Manager

Role Type : Individual Contributor

Department : Business Performance & Management and Analytics

JOB SUMMARY :

To create data based analytical solutions for business needs in the area of Underwriting & Operations analytics, spanning underwriting, claims, 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 Machine Learning models such as - regression, decision trees, forecasting, neural networks, Bayesian, ridge, lasso, etc.

- Should be proficient in SAS

- Ability to connect business understanding and statistical techniques

5. Need to work across various teams and help ideate and build models, validate/QC models, monitor model performance and flag out performance deviation

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

7. 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 modeling techniques is mandatory

3. Hands-on experience on R or Python will add value

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.