The Financial Analysis Data Science Center of Excellence ( CoE) is seeking a dynamic leader with a strong  analytical and corporate finance background. 

As an Vice President, Quantitative Modeling within the Corporate Sector Financial Analysis Data Science CoE, you will report directly to the Head of Financial Analysis and Data Science CoE. You are central to enhancing our analytical capabilities by integrating traditional financial modeling with cutting-edge data science techniques. You will have deep finance expertise and industry knowledge, a strong analytical skillset, and the ability to collaborate with cross-functional teams to drive rigorous quantitative analyses that translate financial insights into actionable plans. 

While a strong foundation in data science techniques—including Artificial Intelligence, Machine Learning, and advanced econometric methods is essential, experience in finance related modeling concepts is highly valued.

Job Responsibilities :

Oversee the design, development, and implementation of financial models and forecasting tools that derive actionable insights for senior leadership in Financial Analysis. Analyze large datasets to extract meaningful insights and trends. Innovate and design predictive models and sophisticated data science methodologies that blend traditional corporate finance with modern analytical techniques. Conduct exploratory analyses to identify patterns and opportunities for improvement. Work closely with stakeholders across Finance, Risk and technology to understand business needs and translate them into analytical solutions. Prepare, design, and deliver executive-level presentations and reports using advanced PowerPoint skills to clearly communicate complex analytical findings. Collaborate with senior leadership and cross-functional teams to provide strategic, data-driven insights that inform decision-making. Manage and mentor a high-performing team of analysts and data scientists, fostering a collaborative and innovative culture. Promote continuous improvement and intellectual curiosity across the team by staying abreast of emerging trends in corporate finance and data science.

Required qualifications, capabilities, and skills :

Advanced degree in Finance, Quantitative Finance, Data Science, Economics, or a related field. A minimum of 5 years’ experience in financial modeling, forecasting or quantitative research within a leading financial organization. Deep expertise in data science, statistical analysis and model development is required Strong programming/scripting skills (incl. Python, R). Proficiency in traditional financial tools (advanced Excel, financial software) and advanced PowerPoint skills. Strong analytical, problem-solving skills and attention to detail. Exceptional communication skills with a proven ability to prepare and deliver executive-level presentations. Ability to work independently and as part of a team. Experience managing and mentoring cross-functional teams, cultivating a collaborative environment. A results-driven mindset paired with a relentless intellectual curiosity, quick thinking, and the ability to innovate solutions that bridge data science and corporate finance.