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Kansas City, MO, US

Actuarial Data Engineer


Actuarial Data Engineer 

About Swiss Re Corporate Solutions

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

Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.

Swiss Re Corporate Solutions offers a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?


About the Role

The Corporate Solutions actuarial team is looking for a data engineer to partner with the actuaries in providing industry-leading loss propensity projections. Specifically, the role will be responsible for:


  • Building data assets to facilitate loss analysis
  • Automating reports to reduce manual effort
  • Streamlining actuarial methods to increase turnaround time


Based on experience and interest, this role may evolve to include extraction of external data for internal analysis, development of portfolio analytics, and application of data science techniques to improve estimates.


About the Team

We are the actuarial team providing support to multiple Corporate Solutions insurance businesses across North and Latin America. Key responsibilities for our team include the calculation of portfolio loss projections, development of rating plans, and selection of costing parameters. To achieve these goals, we seek to use innovative data sources and analytical models to improve traditional actuarial methods and refine our estimates of loss exposure. This role will report directly to the Head of Actuarial Data & Analytics for the Americas within Corporate Solutions.


About You

  • Experience with SQL, Python, and R required
  • Familiarity with Spark SQL, PySpark, JavaScript and APIs preferred
  • Bachelor or Master's Degree in Computer Science, Data Science, Statistics or other relevant quantitative field
  • Strong work ethic and self-starter who can deliver results quickly
  • Good communication skills and the ability to translate technical concepts
  • Knowledge of insurance concepts preferred but not required.


Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.

During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.


Keywords: analytics, data, data management
Reference Code: 94798