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Insurance Analytics Lead

8.00 to 12.00 Years   Bangalore   15 Nov, 2019
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryManagement Consulting / Strategy
Functional AreaSales / BDGeneral / Other Software
EmploymentTypeFull-time

Job Description

ResponsibilitiesClosely liaise with stakeholders in the clientsorganisation to design and develop innovative solutions using advanced analytical techniques to solve specific business problemsManage junior team members and SMEs - provide technical guidance and oversight while managing own deliverables as requiredEnsure high quality standards and timely delivery in all projects. Mitigate associated risks by effective project planning and progress trackingProactive client/customer engagement and managementKeep up with cutting edge analytics techniques and tools in the continuously evolving area of decision science.

Contribute to solutions and capability development of the overall insurance practice at BRIDGEi2i to ensure organisational growth Core Experience and Skills:Proven track record in designing and delivering analytical solutions in a consulting environment or with an insurerStrong experience in Actuarial Analytics (e.g. pricing/rating/reserving modelling, profitability/ competitive analysis, segmentation, rate monitoring, variance analysis etc.) preferably in PC insurance domainAcquired actuarial.

qualifications (CT-CA levels) from IFoA/SoA/IAI or equivalentHands on experience in using Emblem/RadarStrong data manipulation and statistical modelling experience using SAS, SQL, R or PythonThorough operational understanding of various RDBMS applications like Oracle, SQL Server Teradata etc. Competencies Required:Self-driven individual with proven track record of managing a team and ability to work as an individual contributor as wellAbility to effectively manage multiple projects and stakeholders simultaneously and adhere to mutually agreed upon milestones and timelinesStrong project and key stakeholder management in a dynamic environmentAbility to effectively present and explain complex concepts to a non-technical audience.

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Keyskills :
sourcesystemanalysis highqualitystandards sqlserver projectplanning machinelearning varianceanalysis qualitystandards datamanipulation statisticalmodeling competitiveanalysis analyticaltechniques stakeholdermanagement capabilitydevelopment

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