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Location: 

Bangalore, KA, IN

Senior Financial Analyst I(Senior Data Engineer)

 


About Swiss Re
 

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime.

At Swiss Re we combine experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 13,000 employees across the world.

We offer a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?

 

About the role:

The Performance Data Management (PDM) team is at the core of the Performance Management Hub (PMH) and focuses on analysing and providing insights on all aspects of the financial performance of the business unit Reinsurance. Core objective is the enabling of the performance analytics through sourcing various internal and external data sets, maintaining a tactical data environment, and gradually building out the scope of the analytics performed.

The core activities of the Data Engineer in the PDM team include:

  • Build our data backbone by integrating various data systems using Python, PySpark and open source as well as proprietary tools
  • Apply Big data analytics, data mining techniques for the gathering of data, and assess data validity
  • Undertake requirements capturing on business questions to be addressed and related performance drivers and critical metrics
  • Use knowledge of existing data to propose and provide insights on performance drivers
  • Contributing to ad-hoc projects and supporting other team members as required

 

About the team:

The Performance Data Management team is at the core of the Performance Management Hub (PMH). The PMH team combines focused performance projects, the management of the BU's central initiatives, performance cycle, and innovative and insightful financial performance analytics. The PMH team sits within Reinsurance Financial Planning & Analysis (FP&A) and as such is an integral part of the strategic and financial management of the Business Unit (BU) Reinsurance.

 

About you:

  • Overall 6 to 8 years of working experience in insurance analytics, data engineering or similar function
  • Excellent knowledge of relational databases like SQL Server, PostgreSQL or MySQL
  • Strong fundamentals in any programming language like Python or Scala
  • Familiarity with Hadoop and Spark (PySpark, SparkSQL is considered a plus)
  • Data Model Design and implementation based on the requirements
  • Proficient with writing SQL queries, Stored Procedures and Views
  • Familiarity with any ETL tool like SSIS
  • Knowledge of current Visualization tools is an advantage.
  • Familiarity in Palantir tools, Data mining skills would be preferred
  • Knowing multiple technologies Excel macros, HTML, CSS, JavaScript is a plus.
  • University degree (equivalent) in quantitative field (e.g. Mathematics, Statistics, Operations Research, Industrial engineering, Computer Science Engineering, Econometrics or Information Technology)

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 data engineering aspects of multiple ad-hoc projects and have good expectation management of partners.


Keywords:  
Reference Code: 100071 

 


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