Sr. Manager, Advanced Analytics

As a member of the team, your role involves various key responsibilities including: - Expanding simulations from program-level to portfolio-wide analyses, integrating external variables like patent extensions and launch delays. - Designing and implementing Expected Shortfall (ES) or Conditional Value at Risk (CVaR) models to quantify and mitigate risks. - Building and maintaining tools such as the Portfolio Simulator and BOUND to ensure robustness and accuracy of analyses. - Collaborating with external partners and internal teams on Modern Portfolio Theory and Monte Carlo initiatives. - Conceptualizing and developing advanced analytics methodologies tailored to evolving portfolio needs. Key Responsibilities: - Expand simulations to portfolio-wide analyses with external variables integration. - Design and implement ES or CVaR models for risk quantification and mitigation. - Build and maintain tools like Portfolio Simulator and BOUND for analysis robustness. - Collaborate with partners and internal teams on portfolio initiatives. - Develop advanced analytics methodologies for portfolio requirements. Qualification Required: - Masters or Ph.D. in quantitative disciplines like Statistics, Data Science, Mathematics, Economics, or related fields. - Proficiency in statistical tools and programming languages such as R Shiny, Python, SAS, Alteryx, or equivalent with working knowledge of SQL. - Hands-on experience with simulation modeling, risk assessment frameworks, and statistical methodologies. - Strong understanding of portfolio management principles, including Modern Portfolio Theory. - Advanced knowledge of MS Office (Excel and PowerPoint); VBA proficiency and excel data modeling is a plus. - Excellent problem-solving skills and ability to translate complex data into actionable insights. - Experience with pharmaceutical or healthcare analytics. - Familiarity with data visualization tools like Tableau, Power BI, or equivalent. - Knowledge of supply chain or IP risk assessment frameworks. - Strong collaboration and communication skills to liaise with cross-functional teams and external stakeholders.,