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Swiss Re

http://www.swissre.com/

About

The Swiss Re Group is a leading wholesale provider of reinsurance, insurance and other insurance-based forms of risk transfer. Dealing direct and working through brokers, its global client base consists of insurance companies, mid-to-large-sized corporations and public sector clients. From standard products to tailor-made coverage across all lines of business, Swiss Re deploys its capital strength, expertise and innovation power to enable the risk taking upon which enterprise and progress in society depend. 

Founded in Zurich, Switzerland, in 1863, Swiss Re serves clients through a network of over 70 offices globally and is rated "AA-"​ by Standard & Poor's, "Aa3"​ by Moody's and "A+"​ by A.M. Best. Registered shares in the Swiss Re Group holding company, Swiss Re Ltd, are listed in accordance with the Main Standard on the SIX Swiss Exchange and trade under the symbol SREN. 
 

Active Jobs

44 Jobs

Category

Insurance

Headquarters

Zürich, Zürich, Switzerland

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Associate Data Engineer I

Swiss Re

Bengaluru, Karnataka, India

Posted: 12 days ago

About the role: The Performance Data Management (PDM) team is at the core of the Performance Management Hub (PMH) and focuses on providing Data assets for analyzing and providing insights on financial performance of the Swiss Re Group. Core objective is enabling of the performance analytics through sourcing various internal and external data sets, maintaining a data environment, and gradually building out the scope of the analytics performed. The core activities of the Data Engineer in the PDM team includes: Build Data Lake leveraging Palantir & BI tools by performing Data Modelling, applying transformations to shape the data suitable for reporting and analysis. Building executive dashboards, creating visually appealing & storytelling reports for senior management. Contributing to ad-hoc projects, POC's and supporting other team members as required Performing change management activities as necessary About you: Passionate about Data Engineering & Programming with 0-1 year relevant experience Basic understanding of PySpark & SQL Able to convert the business problem into technical implementation. Willingness to upskill on Advanced scripting skills viz: Pyspark, Python, JavaScript Knowledge in Reinsurance industry and Finance domain is a Plus. Utilize and apply best practices on projects based on experience and in consultation with experts; appropriately tailored for the client and their culture. University degree (equivalent) in quantitative field (e.g. Mathematics, Statistics, Computer Science Engineering, Information Technology or Electronics & Communications) Specific soft skills: Excellent command of spoken and written English and ability to present to senior management. Standout colleague with ability to build proactive, collaborative working relationships with peers and key partners based on respect and teamwork Inquisitive, proactive and willing to learn new technologies, understand insurance business and its economics Process and delivery mind-set aspiring for methodological and operational improvements Ability to drive the reporting aspects of multiple ad-hoc projects and have good expectation management of partners