Join EY Consulting, a global leader committed to building a better working world through people, technology, and innovation. We focus on driving long-term client value by solving strategic challenges. Our practice includes Business Consulting, Technology Consulting, and People Advisory Services.

We assist clients in navigating complex risks to achieve their business objectives. This involves deep dives into Enterprise Risk, Technology Risk, and Financial Services Risk, ensuring resilience, compliance, and robust internal controls.

Specifically, the TMT (Technology, Media & Entertainment, and Telecommunications) sector faces rapid industry convergence. We empower these organizations to transform and grow by enhancing employee and customer experiences, protecting data, and enabling strategic M&A activities.

As a Senior Consultant, you will leverage strong consulting capabilities in business risk and process/controls within TMT environments. Your role involves analyzing operational and risk data to pinpoint control gaps, process inefficiencies, and areas for improvement.

You will be responsible for preparing structured analyses and insights using data analytics to support consulting recommendations. Practical experience with SQL and Python for data extraction, transformation, and risk/control review activities is expected.

Exposure to AI/ML concepts for enhancing analytics, automation, and risk-focused solutions is beneficial. Leading a team of consultants to deliver high-quality work will be a key part of your responsibilities.

To excel in this role, you should possess a strong foundation in consulting, with hands-on experience in business risk and process & controls engagements, ideally within the TMT sector. The ability to analyze complex data to identify control deficiencies and process optimization opportunities is crucial.

Proficiency in data analytics techniques, including SQL and Python, is required for data manipulation and risk assessment. Familiarity with AI/ML concepts for advanced analytics and automation is a significant advantage.

Academically, a Bachelor's degree in a relevant field such as Computer Science, Computer Applications, Engineering, or Commerce, or equivalent practical experience, is expected. Relevant Master's degrees or Post Graduate Diplomas are also considered. 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) is highly valued.