AVP - Advanced Analytics - Insurance/Non Insurance

Desired Candidate Profile

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 Non Insurance // P&C Insurance actuarial or analytics like predictive modeling and application

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

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

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

Specific Competences Required :

Very Strong Statistical modeling including least squares, logistic regression, and time-series forecasting Data analytics to discern any pattern

Analysis of Indemnity (Loss) & Expenses (Loss Adjusted Expense) separately

- Statistical methodology (Candidate should have hands on experience in predictive modeling/data mining)

- Scoring model base on GLM, segmentation approach

- Study existing modeling framework for Insurance OR NON- INSURANCE and have clear understanding of role of different data parameters

- Build technical solutions (like model architecture, design, processmapping, model governance etc) for client

Excellent Presentation Skills

Fluent with Excel / Powerpoint

Project Management/Attention to Detail

- Demonstrated ability to manage projects in a detailed manner

- Organization skills are critically important

- Must be someone who has willingness and demonstrated ability to get into the details and not manage too high level Analytics first hand operational involvement in multiple functional towers below, ideally for 10+ years

- Pricing & Underwriting analytics

- Reserving & Valuation

- Actuarial Modeling

- Claims modeling (fraud detection, subrogation..)

- Advanced predictive modeling initiatives

- Catastrophe risk management

Understanding of large, complex data sets including time-series/historical data with some programming experience with SAS, R, SQL, Oracle and Excel

Understanding on how to apply advanced statistical techniques including machine learning, link analysis

Consulting experience - demonstrated ability to convey value proposition, differentiators in a compelling manner to win new relationships/opportunities

- Strong communication skills communicating value proposition in our RFX responses

Responsibilities:

Own the product development by bring Insurance/ Non-Insurance industry knowledge, world class capabilities, innovation and cutting-edge technology to our clients from analytics offerings perspective

Lead strategic initiatives globally

Work with internal teams to build the solution proposal

Front end along with BD/Sales and contribute to deal conversion

Be aware of market trends/changes/competitive landscape

Able to work independently in a cross cultural environment, panning different time zones

Thought leadership through whitepapers, content creations, powerpoints, etc.

Product design and documentation

Desired Candidate Profile

Deep domain expertise in Non Insurance OR Insurance Analytics and has detailed knowledge of Insurance OR Other industry core operational areas of claims, underwriting, actuarial and product development

Has independently working on advanced analytics projects, understands nuances of statistical modelling techniques like machine learning, text mining etc

Is well versed with the concepts of actuarial and risk functions like pricing, reserving and modelling

Ability to manage Multi-Stakeholders

Excellent project & time management skills

Excellent analytical and execution skills

Very good command on MS-Office (Word, Excel, PowerPoint, etc.)

Collaborative management and working style

Effective Communication skills

Should possess high degree of versatility, good interpersonal skills, and excellent time management skills