Leadership Role - Operations Analytics/Insurance Analytics - SME

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 company'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

Specific Competences ( Essential)

- Technical skills - 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 Non Life Insurance and have clear understanding of role of different data parameters

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

- Strategic Thinker

- proven ability to think outside the box and big picture

- 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

- Insurance 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 o 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

Specific Competences (Desirable)

Preferred list of skillsets/experience:

- Experience in managing multiple people and projects and producing quality deliverables on time and within budget

- An executive presence with excellent written and oral communication skills

- Ability to influence and collaborate with senior management and work across all levels of an organization

- Willingness to travel globally

- Experience in Matlab, Hadoop, Mahout

- Very strong in Excel and Power point

- 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

- Ability to stich response together by challenging status quo

Key Roles and Responsibilities

Own the product development by bring 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

Knowledge, Experience, Education

Experience in working in a fast paced & tight timeline type of environment

- Deep domain expertise in Insurance Analytics and has detailed knowledge of Insurance 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

- Should be able to handle pressure and long work hours, if necessary

- Comfortable with frequent travel and able to work across time zones - Presentable and confident

- Very - hands-on person with a positive attitude