EY Consulting is dedicated to building a better working world by driving business transformation through people, technology, and innovation. Our client-centric approach prioritizes delivering long-term value by resolving the most strategic challenges. Within EY Consulting, we focus on Business Consulting (including Performance Improvement and Risk Consulting), Technology Consulting, and People Advisory Services.

We assist clients in identifying and managing the interplay between potential benefits and inherent risks, enabling informed long-term decisions to safeguard their future business strategy and objectives. Our primary areas of engagement include:

- Enterprise Risk: Helping clients identify and address key risk areas while fostering agility. - Technology Risk: Supporting clients in protecting business performance and providing assurance on internal controls and regulatory compliance. - Financial Services Risk: Guiding financial sector clients in identifying, managing, and monitoring risks through transformative and agile methodologies.

Demonstrate strong consulting capabilities with experience in business risk and process & controls engagements within TMT environments. Analyze operational and risk data to pinpoint control gaps, process inefficiencies, and areas for improvement. Develop structured analyses and derive insights using data analytics to support consulting recommendations. Apply working knowledge of SQL and Python for data extraction, transformation, and assessment in risk and control reviews.

Exposure to AI/ML concepts and their application in enhancing analytics, automation, and risk-focused solutioning is advantageous. Lead a team of consultants to ensure the delivery of high-quality work.

To be successful in this role, you should possess:

- Qualifications: 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.

- Experience: Minimum of 2 years in Data Analysis, 3 years in Machine Learning, 6 years in Project Management, 3 years in Business Analysis, 3 years in Financial Analysis, and 3 years in Business Intelligence.

- Skills: Ability to collaborate effectively across multiple client departments, adhering to commercial and legal requirements. A practical approach to problem-solving complex issues with the capacity to deliver insightful and actionable solutions. We value individuals who are agile, curious, mindful, and maintain positive energy, demonstrating adaptability and creativity.