Graduate Internal Control Partner: Risk & Data

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 52,000 - 80,000; Full time

Job summary

ByteDance is seeking graduates for the Internal Control team to identify risks and design controls across global operations. You will learn about ByteDance’s diverse business ecosystem, understand operational principles, and participate in building internal management mechanisms.

Strong candidates will join with clear availability and graduation dates. Responsibilities include risk identification, control design, incident oversight, and applying data/AI techniques to enhance risk practices.

Qualifications

• Minimum Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, Artificial Intelligence, Strategic Management, or related field.
• Strong logical thinking and excellent communication and interpersonal skills (including emotional intelligence).
• Exceptional teamwork, fast-learning, and strong execution capabilities.

Responsibilities

• Identify potential risk based on business strategy, workflows, and data lifecycle of systems.
• Design control measures (policies, processes, systems) and monitor their effectiveness.
• Oversee and assess material incidents in operations and develop risk mitigation strategies.
• Refine risk identification and response techniques using data and AI models to establish industry best practices.

Skills

Risk analysis

Data interpretation

Problem solving

Communication skills

Mandarin proficiency

Education

Bachelor's degree in CS/Statistics/Data Science/Math/AI/Strategic Management

Job description

ByteDance is seeking graduates for the Internal Control team to identify risks and design controls across global operations. You will learn about ByteDance’s diverse business ecosystem, understand operational principles, and participate in building internal management mechanisms.

Strong candidates will join with clear availability and graduation dates. Responsibilities include risk identification, control design, incident oversight, and applying data/AI techniques to enhance risk practices.