Senior Analyst

  • 33229
  • Life - Actuarial
  • |
  • Ontario, Canada
  • |
  • Jan 16, 2018
  • Act as the predictive analytics technical lead, and provide support (both mathematical theory, coding, and execution) on a number of projects and experience studies.
  • Collaborate with Pricing and Valuation actuaries to support an efficient implementation of experience assumptions in the actuarial models.
  • Contribute expertise to the successful completion of the annual experience monitoring review
  • Assure all required data checks and reconciliations, data analysis, trending and development of assumptions are vetted and complete as part of the experience studies for Retail and Institutional products.
  • Provide a clear understanding to the development of required Experience Studies and reporting to support the business.
  • Contribute to product development projects and system conversion projects to ensure the consideration of experience monitoring requirements.
  • Present findings, recommend assumptions and produce detailed management study reports using user friendly visualization, presentations.
  • Stay abreast of new techniques and technologies in the predictive analytics space.
  • Apply technical and business knowledge to identify, analyze and solve problems.
  • Keep develop and champion standards, technologies, and methodologies.
  • Build effective relationships and establish a high level of credibility with all levels of management across the various functions and divisions.
  • Understand their role as it relates to the services provided by the Experience Analytics CoE within the Service Level Agreement.
  • Highly collaborative and contagiously enthusiastic about predictive analytics.
  • 3+ years of experience with a focus on data processing, data analysis and reporting writing.
  • Post-secondary education in Computer Science, Mathematics, Engineering, Actuarial Science or a related field is required.
  • Experience in data science, in particular comfort around the use of generalized linear models
  • Experience with visualization tools (Qlikview preferred).
  • Programming experience in MS Office applications (Access, Excel, Word, PowerPoint, MS SQL, VBA) for data analysis and report writing.
  • Proficient in R.
  • Excellent oral and written communication skills with influencing and negotiation abilities.
  • Demonstrates working knowledge of technical aspects of work and able to apply an understanding of key principles.
  • Demonstrates commitment towards continuously updating knowledge and skills, and incorporates feedback. A quick learner with strong technological intuition.
  • General understanding of insurance products and associated risks.
  • Self-starter with the ability to work independently, particularly in the area of using sound, independent judgment, problem-solving, organizing, planning and analytical skills.