Job Description

- Experience in insurance mandatory. Identifying ground-breaking P&C Insurance analytics propositions, for example in new products, renewals, claims, various P&C Insurance Operations, actuarial, pricing, Policy distribution, Claims, Underwriting etc. Experience with Australian carriers is a plus- Hands on experience in Data modelling and data analytics tools like, SQL, Tableau, R/ Python. Familiarity and knowledge of pros/ cons of other relevant tools. Good knowledge in advanced analytics / Machine learning / statistical / data mining / Text mining techniques in Regression or classification- Lead the India Delivery team assigned to growing Insurance business in the Australia and APAC geographies. He/ She will work very closely with different stakeholders toa) proactively identify opportunities at existing clientsb) bring solid problem solving skills to close new RFPs and deal opportunities- A typical work day will involvea) leading client callsb) leading stakeholders across teams in India to upscale the quality of team\'s deliverablesc) problem solving for generating new business from insurance clientsd) lead brainstorming sessions for improvement opportunities and take it to completion- The suitable candidate should have at least 8 years- experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with a fast changing environment (impact of tech, digitization, impact of covid on insurance players)- Potential to move permanently to AustraliaKey Responsibilities:Team leadershipa) Deliver on analytical solutions in insurance, leveraging deep business understanding and analytical expertiseb) Specify Analysis tasks to generate insights; work with the team to solve client business problems by translating them into an analytics problem solving frameworkc) Guide the analysis of structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areasd) Develop new IP, bring thought leadership through whitepapers etc. Contribute to Strategic Initiatives within Analytics practiceClient Leadershipa) Develop and maintain a strong relationship with business stakeholdersb) Identifying ground-breaking P&C Insurance analytics propositions (see earlier)c) Identify new analytics opportunities and ensure end to end delivery of propositiond) Researching the wealth of repository material of Insurance Analytics (e.g. whitepapers, case studies, brochures or any other marketing collateral to help sell P&C Analytics offeringse) Research and apply new methodologies to varied client situationsSkills:Must have:a) 8+ years of experience in analytics, machine learning, advanced statistical techniques, AI and data engineering jobs.b) High standards of quality - Should be able to work on a problem independently and prepare client ready deliverables with minimal or no supervisionc) Deep knowledge and interest in Insurance (both General Insurance and Life)d) Hands on experience in Data modelling and data analytics tools (see earlier)e) Excellent communication & presentation skillsGood to havea) Experience in managing Python codes and collaborating with customer on model evolutionb) Excellent in project management, team management and conflict management skillsc) Good knowledge of database management and Hadoop/Spark, SQL, HIVE, Python (expertise).d) Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferredCandidate Profile:- Bachelor- s/Master\'s degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply- Strong and in-depth understanding of statistics- Data analysis experience- Superior analytical and problem solving skills- Outstanding written and verbal communication skills- Able to work in fast pace continuously evolving environment and ready to take up challenges- Able to understand cross cultural differences and can work with clients across the globe

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