Actuarial Data Scientist (m/f/d)

  • Emerald Group
  • München, Germany
  • 29/11/2019
Full time Data Science Data Analytics Big Data Statistics

Job Description

Overview

Key Responsibilities:

    • Conducting experience studies and other analyses along the whole (re)insurance value chain
    • Identifying future trends in big data and analytics that are relevant for actuarial analytics in life and health insurance
    • Turning insight into value generation through development and continuous enhancement of methods and tools
    • Using modern statistical methods for the purpose of actuarial analysis and predictive analytics in life and health (re)insurance
    • Representing the team and their key topics vis-à-vis internal and external stakeholders
    • Driving cross-functional actuarial analysis and analytics initiatives in close collaboration with interfaces

For more information, please contact:

Sarah-Schadek-Keane

+49 (0) 69 – 24 75 68 94 30

sarah.schadek-keane@emerald-group.com

Qualifications required:

  • Master’s degree with high marks in mathematics, statistics, or actuarial science, or comparable (quantitative) studies; doctoral thesis would be an advantage

Experience required:

  • Proven practical multi-year experience with data analytics methods, including multivariate methods such as GLMs and decision-tree ensembles
  • Strong programming skills – excellent knowledge of statistical programming in R; further programming skills (SAS, Python, SQL, Visual Basic, etc.) would be an advantage
  • Professional experience in actuarial department of a life or health (re)insurer is desirable
  • Strong theoretical knowledge of modern statistical and machine-learning methods