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AI & Risk Analytics Consultant

EY

Seoul, South KoreaOn Site

Original Job Summary

About the Opportunity

At EY, become part of a global team that values support, inclusion, cutting-edge technology, and top talent to shape a remarkable career. Join us to create a better work environment and drive meaningful change with your unique career and perspective.

Role: AI & Risk Analytics Consultant

As an AI & Risk Analytics Consultant in the Risk Consulting team, you will be responsible for:

  • Leading Responsible AI consulting by establishing AI governance and risk management frameworks
  • Building continuous risk monitoring systems through Risk Analytics
  • Providing Data Analytics consulting and utilizing tools like Python, R, SQL
  • Developing ESG Data Platform consulting, internal control system design, and compliance consulting

Qualifications & Preferred Skills

We are looking for candidates who have:

  • A bachelor's degree from a recognized university
  • 1-9 years of relevant experience, particularly in AI consulting
  • Experience in AI planning, development, operation, and monitoring
  • Strong data analysis skills using Python, R, SQL and related tools
  • Experience in internal control consulting or related field

Selection Process

  • First round: Document screening and online personality test
  • Second round: Practical and executive interviews

Additional Information

  • Application Deadline: November 13, 2025
  • Location: Seoul Yeouido or project site
  • Employment: Full-time position
  • Special considerations for veterans, persons with disabilities, and job protection categories
  • Note: Early closure possible upon finding the right candidate
  • Inquiries: Recruiting@kr.ey.com

Key skills/competency

  • AI Governance
  • Risk Management
  • Data Analytics
  • Responsible AI
  • Compliance
  • ESG
  • Python
  • R
  • SQL
  • Consulting

How to Get Hired at EY

🎯 Tips for Getting Hired

  • Customize your resume: Highlight your AI consulting experience.
  • Research EY: Understand their global culture and values.
  • Prepare for interviews: Review AI and risk analytics case studies.
  • Show results: Quantify achievements in data projects.

📝 Interview Preparation Advice

Technical Preparation

Review AI governance frameworks and risk management principles.
Refresh skills in Python, R, SQL analytics.
Study data analysis methodologies and case studies.
Understand building and monitoring risk systems.

Behavioral Questions

Describe a challenging consulting project you led.
Explain handling tight project deadlines effectively.
Discuss teamwork in complex data projects.
Share conflict resolution experiences in consulting.