EY-Parthenon - Corporate Finance - Decision Modeling and Analytics - Director - Chicago

About EY-Parthenon•Chicago, IL

1d•Hybrid

About The Position

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.

Requirements

Bachelor’s degree in Computer Science, Business analytics, Data Science or equivalent; Masters preferred.
5+ years of corporate/financial analytics experience.
Intermediate level of proficiency in SQL.
3+ years of corporate finance experience.
Experience of performing data science in SPSS, SAS, Azure Databricks, Python or R to solve business problems.
Experience of data visualization tools (Power BI preferred).
Excellent communication and presentation skills with a high degree of comfort in speaking with senior executives at large companies.
Ability to manage own learning and contribute to domain knowledge building.
Excellent interpersonal, leadership, and communication skills.
Keen interest in being at the intersection of business, technology, and analytics.
The ability and willingness to travel and work in excess of standard hours when necessary.

Nice To Haves

Being a subject matter expert on a particular area of business analytics is helpful.
Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions.
Distinct customer focus and quality mindset; able to see from and sell to multiple viewpoints.
Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.

Responsibilities

Develop data science solutions for clients to structure, quantify and implement complex decisions such as mergers, acquisitions, divestitures, strategic options, investment appraisal, contract evaluation and program assessment.
Demonstrating in-depth technical capabilities and professional knowledge.
Experience and ability to manage teams.
Maintaining long-term client relationships and networks and cultivating business development opportunities.
Using analytics technology tools and data science techniques to enhance the effectiveness of services provided and act as a leader in adopting new tools and techniques.