At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon – Corporate Finance - Decision Modeling and Analytics – Director EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real-world value – solutions that work in practice, not just on paper. Benefiting from EY’s full spectrum of services, we’ve reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence. The opportunity Within EY-Parthenon’s Corporate Finance sub service line, the Decision Modeling and Analytics Team (DMA) is a provider of rigorous modeling and analytics solutions to help support the full spectrum of Strategy and Transactions offerings. We work across sectors and our solutions focus on supporting strategic, operational, and financial decision-making using various financial modeling tools, technologies and analytics. Our team consists of financial modeling, corporate finance analytics, data and technology professionals, all of whom have a strong interest in business. Our work is often innovative and rapid (delivering solutions in weeks to a few months). Changes in technology is reshaping the way we work. Analytics technologies and data science techniques allow greater amounts of data to be analyzed in a timely manner, cloud opens up the possibility of tapping into a much broader and advanced range of capabilities than was traditionally possible, and clients have an increasing appetite for leveraging tools and technology in decision making across the value chain. Your key responsibilities We are seeking data science professionals with experience of applying data visualization, statistical analysis, optimization, or machine learning to real world business problems.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Director
Number of Employees
5,001-10,000 employees