Join a leading global professional services organization renowned for its assurance, tax, transaction, and advisory services. We cultivate a dynamic culture that empowers our people with essential training, abundant opportunities, and the creative freedom to excel. At EY, we invest in your potential, recognizing that your career is yours to build and offering fulfilling experiences to help you achieve your professional aspirations.

This role focuses on the Technology, Media & Entertainment, and Telecommunications (TMT) sector, a rapidly evolving industry where convergence presents both exciting growth prospects and competitive challenges. We assist TMT companies in crafting exceptional employee and customer experiences, optimizing operational efficiency, safeguarding data and brand reputation, and executing strategic M&A initiatives to drive value and position them at the forefront of future technological advancements.

As a Consultant within our Business Consulting Risk practice, you will leverage your expertise to address critical business risks and enhance process controls within the TMT sector. This involves conducting in-depth analysis of operational and risk data to pinpoint control weaknesses, identify process inefficiencies, and propose actionable improvement strategies.

You will be expected to deliver structured analyses and generate insightful findings using data analytics to support robust consulting recommendations. Proficiency in SQL and Python is essential for data extraction, transformation, and assessment in risk and control reviews. Familiarity with AI/ML concepts for advanced analytics, automation, and risk-focused solutions will be highly advantageous.

To be successful in this role, you should possess strong consulting capabilities with prior experience in business risk and process & controls engagements within TMT environments.

Essential qualifications include a Bachelor's degree in relevant fields such as Engineering (Mechanical, Electrical, Computer Science), Business Administration, Commerce, or Computer Applications. Advanced degrees like Master's in Technology, Business Administration, Commerce, or Computer Applications are also highly valued.

We are seeking individuals with practical experience in areas such as Data Analysis (2+ years), Business Analysis (3+ years), and Financial Analysis (3+ years). A collaborative spirit, a pragmatic approach to problem-solving, and the ability to deliver insightful and practical solutions are key attributes. We value individuals who are agile, curious, mindful, adaptable, and creative.