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17/11 Komal
HR Consultant at Genpact

Views:631 Applications:194 Rec. Actions:Recruiter Actions:4

Genpact - Senior Manager - Predictive Modeling/Insurance Analytics - Forecasting Process (8-11 yrs)

Noida Job Code: 864710

Inviting applications for Predictive Modeling (Forecasting process) + Contact centre domain - Noida -30-60 Days Notice


With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world's biggest brands and we have fun doing it. Now, we're calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it. Come, transform with us.

Inviting applications for the role of Senior Manager, Insurance Analytics

- In this role, you will be involved to Lead Analytics team, plan & strategize modelling initiatives, drive efficiency, build customer relationship and improve engagement. 


- You will have to perform statistical analysis, Insight generation & dashboard development and predictive modelling including forecasting model. You are encouraged to bring outstanding blend of insurance industry breadth and functional depth in analytics. 


- Your role will require you to build & develop sophisticated analytics capabilities and assets/accelerators to deliver out-of-the-box analytics solutions to existing as well as new clients and thereby establish Genpact's credentials in Insurance analytics domain.

Responsibilities : 

- Work towards developing skills for the larger Analytics team in predictive analytics area through coaching and training.

- Work independently with clients and lead projects/relationship

- Work with leadership team to develop advance analytical capabilities and assets

- Apply standard and ground breaking techniques (statistical modelling, Bayesian, data mining, predictive analytics, machine learning, text mining, segmentation/clustering and optimization) to identify drivers of a business metric in areas of Claims and Underwriting.

Qualifications : 

Minimum qualifications : 

- Master Degree in a quantitative field such as Statistics, Actuarial Sciences, Mathematics, Quantitative Finance, or Economics

Work experience:

- Proven of predictive modelling experience

Essential skills:

- Excellent analytical skills with good understanding of statistics and predictive modeling.

- Experience in the following predictive modeling techniques is a must - GLM, Linear Regression, Time Series, Segmentation/Cluster Analysis, Decision Trees & Random Forests

- Expertise in doing work force management for contact center and back office

- Understanding of Forecasting process

- Specialist in visualizing data and recommend insights to partners

- Proficient with R and/or other statistical tools like SAS, SPSS etc.

- Basic database skills, including SQL and ability to pull together disparate data sources. SSRS / SSIS Experience

- Should have skills to analyze data and provide insights on trends, patterns, etc. which will be essential to the business

- Ability to prioritise and balance multiple assignments concurrently with minimal direction in an evolving, fast paced work environment

- Programming experience (VBA, Java, etc.)

- Ability to work independently and in a team environment

- Self-disciplined and results oriented!

- Communicate effectively both orally and in writing with various levels of management, including translating complex ideas and data into measurable steps for business units

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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