Join EY as a Senior Consultant in Business Consulting Risk, specializing in the Technology, Media, and Telecommunications (TMT) sector. This role offers a unique opportunity to shape the future of businesses navigating industry convergence and digital transformation. At EY, we foster a culture that empowers your growth, providing the training, opportunities, and freedom to excel.

We are dedicated to building a better working world by empowering businesses through people, technology, and innovation. Our client-centric approach focuses on delivering long-term value by solving their most strategic and complex challenges. Become a part of a dynamic team that drives impactful change.

Leverage strong consulting capabilities to conduct business risk and process & controls engagements within TMT environments. Analyze operational and risk data to pinpoint control gaps, process inefficiencies, and opportunities for enhancement. Utilize data analytics, including SQL and Python, to extract, transform, and assess data for risk and control review activities. Prepare structured analyses and deliver insights to support consulting recommendations. Lead a team of consultants to ensure the delivery of high-quality work.

Gain exposure to AI/ML concepts for enhanced analytics, automation, and risk-focused solutioning. Collaborate effectively within a team to serve multiple client departments while adhering to commercial and legal requirements.

We are seeking individuals with demonstrable experience in Data Analysis (2+ years), Machine Learning (3+ years), Project Management (6+ years), Business Analysis (3+ years), Financial Analysis (3+ years), and Business Intelligence (3+ years). A Bachelor of Technology in Computer Science, Bachelor of Computer Applications, Master of Computer Applications, Bachelor of Technology in Mechanical Engineering, Bachelor of Engineering in Electrical, Master of Technology in Civil Engineering, Master of Engineering in Electronics, Diploma in Electrical Engineering, Diploma in Mechanical Engineering, Bachelor of Commerce, Master of Commerce, Master of Science in Data Science, Post Graduate Diploma in Management, or a Certification in Data Analytics are preferred qualifications.

Essential skills include proficiency in SQL and Python for data extraction and analysis. Candidates should possess a practical approach to problem-solving, the ability to deliver insightful solutions, and demonstrate agility, curiosity, mindfulness, and creativity. A collaborative spirit and adaptability are key to success in this role.