EH-FY26-Consulting-S&T-M&A-LSA/SSA-DA

Mergers & Acquisitions as the name suggests is intriguing and complex. It calls for a business mindset to understand the rationale behind the transactions and ability and willingness to dive deeper into industry issues and bring greater insights for our clients. Today's M&A due diligence environment generates vast volumes of data and information, and almost all of this information is captured and stored in computerized form. We are looking for a person who is passionate about financial data and willing to serve challenging client needs through innovative solutions.

The role requires a high degree of ingenuity and innovation to adopt innovative tools and techniques in the data analytics space. A candidate can expect to do some or all of the following:

• Analyze deal data sourced from financial statements for trends and outliers

• Identify opportunities to design and develop modules that enable effective and repeatable analysis of large transactional datasets

• Work with deal team leaders to identify requirements, design, implement and test analytical methods and solutions

• Research, identify, test and develop software solutions that may enhance existing client service offerings

• Provide input to technology initiatives and investments across the M&A lifecycle

Mergers & Acquisitions Transaction Services team provides support for Financial due diligence ('FDD') services to the Client, both Private Equity clients as well as Strategic Investors, which entails comprehensive financial review of the target with the goal of providing a complete picture of its financial position and sustainable cash flows, highlighting the value and risks of a transaction, and identifying issues for reflection in SPA and completion accounts.

• Bachelor's Degree in Accounting, Finance, Management Information Systems, Computer Science, Mathematics or Engineering

• Experience of analyzing large financial datasets

• Demonstrated knowledge or advanced business analytics and data mining solutions

• Excellent verbal and written communication skills are essential, as well as demonstrable evidence of effective team leadership, client relationship development and engagement management.

• Master of Business Administration or Masters in Data Science

• Experience designing interactive visual interfaces (Tableau, Power BI)

• Tools to do data ETL (Extract, Transform and Load), particularly Alteryx

• Practical application of machine learning algorithms

• Experience analyzing or managing accounting, financial or transactional data

• Statistical methods in support of data analysis

• Experience with SQL and/or Python

• CPA, CA certification

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Requisition code: 317730