Position Summary:
The position of Director, Quantitative Analytics will require excellence on both technical and communication dimensions. Responsibilities will involve leveraging analytical, synthetic, and quantitative skills in support of our insurance business. The work will revolve around understanding complex businesses, large and complex data manipulation, model building, model validation, and model implementation. The work will require highly effective communication, oral and written.
Organizational Structure and Interface:
The Science team is a highly matrixed organization. While all team members have a senior supervisor, the work is managed in project teams that form, and reform, dynamically as business needs evolve and resolve.
Performance Objectives:
• Build and refine predictive and descriptive statistical models to improve insights, enhance data-driven business strategies, and drive improved profitability
• Build, review, and improve the actual code that solves complex data manipulation problems
• Develop next-generation analytic approaches where current generation approaches are not adequate
• Thoroughly document the thinking and the details to enable future analysts to pick the work up
• Review, direct, guide, inspire the analytical work of more junior staff
• Present updates, insights, and final recommendations with influence to diverse audiences
• Develop material and conduct training for both technical and business colleagues
The Ideal Candidate Has:
• Advanced technical skills for level:
• Advanced quantitative modeling and analytical skills
• Sophisticated synthetic skills enabling identification of important implications
• Statistical skills (such as Confidence intervals, OLS, GLM, Survival, ARIMA)
• Advanced statistical skills (such as MCMC, Bayesian, machine learning, boosting, cross-validation, shrinkage)
• Ability to apply skills to solve weakly structured business problems
• Expert knowledge of SAS (Base, Graph, Stat, Macro, ODS, IML)
• Expert skills in SQL and experience in using databases from within SAS
• Knowledge of other coding languages such as R, Stata, SPSS, Python, C++
• Experience with Windows and UNIX/Linux operating systems
• General Management Skills:
• Leadership, business acumen, passion for team-oriented work, strategic and creative thinking
• Excellent communication skills with the ability to hear what others are saying and the ability to be heard
• Interest in all aspects of the insurance business and processes (e.g. underwriting, claims adjusting, finance and accounting, risk management and operations)
• Experience in leading teams and projects
• Knowledge of Microsoft Excel and PowerPoint
• 10+ years of experience
• An advanced quantitative degree or equivalent training, skills, and experience
