AVP - Operation Analytics/Insurance Analytics - Actuaries

JOB DESCRIPTION :

Analytics SME, Insurance

Job Title : AVP, Ops Analytics, Insurance Analytics

Function : Insurance Analytics Solutions

Travel : Project Based / Client Meeting (10%-20%)

Location : Gurgaon

Summary of Role / Profile :

Focus of the Function :

This job involves building products and solutions for embedding Actuarial & Analytics for Insurance. It involves dealing with Ops/service line/BD/Sales/Practice teams and other functions like legal, pricing, transitions, etc. to build the most relevant solutions for potential & prospective clients.

- Provide insights and predictive solutions using statistical models for P&C Insurance across actuarial, underwriting, finance & accounting and claims

- Build Insurance analytics practice by identifying and implementing analytical solutions using advanced tools and techniques

- Lead the pilot projects for various existing clients to check the feasibility and effectiveness of the proposed solution

- Work with clients and deliver independently

- Develop further the Analytics capability in India and other locations to service P & C clients - collateral, people, tools, and processes. Includes developing partnerships and identifying potential acquisitions.

Why does this job exist :

- To design cohesive solutions combining the different Organization's offerings taking into account customer needs, the industry landscape, and our innovation strategies.

- Need is for someone to work seamlessly with Core Insurance Operations service lines of Claims, Underwriting and F&A and bring together comprehensive service offering.

- The person should be able to interact with CXO level executives and their team to convert opportunities along with practice and sales team

How does the role add value :

Directly contributes to growth, creates/modifies solutions to address market needs and as the market needs change.

How is this role unique from others:

This role is a combination of excellent product development and deployment mindset, good commercial sense in structuring deals, and excellent customer facing skills (executive presence, ability to listen and address specific problems, articulate acceptable and reasonable solutions, etc.).

Who are the key relationships for this role:

- The key relationships internally to be maintained in this role are with the BD/Sales/Practice Leaders/Functional teams.

- Externally it is analyst, consultants/influencers, and customers themselves.

What are the minimum prior qualifications to be an applicant for this role :

- MBA, approx. 10-12 years of experience (preferable).

- Bachelors in Quantitative science background

- 7+ years of relevant work experience in Insurance Analytics and modeling - related to P&C Insurance actuarial or analytics like predictive modeling and application at claims FNOL, fraud, subrogation or actuarial (pricing, reserving, actuarial modeling), underwriting models (loss ratio models, loss experience modeling) or Loss prevention models (like litigation etc..)

- Advanced proficiency in programming with SAS, R, SQL, Oracle and Excel

- Demonstrated ability to work with large, complex data sets including time-series/historical data

- Complete understanding of data extraction, integration, profiling and load to apply predictive analytics

- Ability to apply advanced statistical techniques including machine learning, link analysis

What are the key initiatives & challenges facing this role in the next six months to three years :

- Drive innovation and bring forward looking view point through deep customer involvement

- Asses economic, technological, digital and competitive changes, and their impact on our client set

- Keep abreast of regulatory changes impacting client businesses

- Drive cohesiveness across globalized activities

- Combine technology and analytics to provide a best in class solution

Naveen