Executive Director, Decision Science

  • 37094
  • Life - Data Science
  • |
  • England
  • |
  • Mar 20, 2020
  • Lead data & analytics projects from definition to delivery. Understand business objective, scope solution including data sources, create & manage execution plan and lead a virtual, matrixed delivery team of data scientists, business analysts, technology specialists etc. Responsible for overall success of the project, including quality and value realization.
  • Maintain data, quality and protocol standards set by the company's data & analytics team. Viewed as expert in data & analytics domain for relevant region or business.
  • Collaborate with business stakeholders to support scope, development and commercialization of insight-driven solutions. Define, scope and document plans for execution of client data & analytic initiatives as well as responsible for execution in relevant region or business. Responsible to clients for timeline as well as quality of deliverables.
  • Contribute to the company's data & analytics strategy as well as execution roadmap. Responsible for creation and execution of annual roadmap in relevant region or business aligned to annual company plan.
  • • Foster a positive and engaged work environment. Continuously learn and support talent development. Participate in the company's data & analytics peer community.
  • • Perform other duties as required; maintain regular and predictable attendance.
  • Master’s degree in Economics, Finance, Math, Statistics, ML/AI or related field OR Bachelor’s degree in Actuary Science with FSA-equivalent certification
  • Minimum eight years of hands-on analytic experience in industry setting (i.e. predictive modeling; machine learning)
  • Doctorate in Economics, Finance, Math, Statistics or related field
  • Ten or more years of hands-on analytic experience in industry setting (i.e. predictive modeling; machine learning)
  • 2+ years of industry experience in insurance or reinsurance, preferably life or health
  • Advanced statistical modelling skills
  • Advanced data management and manipulation skills
  • Advanced knowledge of contemporary statistical analysis and business intelligence packages as well as SQL
  • Outstanding programming skills in modern programming language ( R, Python, C#) and understanding of contemporary data architecture
  • Excellent relationship skills with ability to work well across geographic locations
  • Ability to liaise with individuals across a wide variety of operational, functional and technical disciplines
  • Ability to operate effectively in a matrixed environment, including solid and dotted line reporting relationships
  • Ability to make effective decisions to produce quality results on plan
  • Excellent oral and written communication skills, including presentation skills
  • Ability to transform technical information into business results in a way that is meaningful and well received by stakeholders
  • Entrepreneurial spirit; Comfort with ambiguity paired with initiative to make things happen
  • Willingness to travel as necessary
  • Knowledge of life insurance underwriting
  • Knowledge of insurance claims
  • Understanding of reinsurance concepts and methods
  • Knowledge of mortality and morbidity insurance products
  • Start-up experience