Fraud & Risk Analytics Intern, Payments

ByteDance; Singapore; On-site; SGD 20,000 - 28,000; Part time

Job summary

ByteDance's Global Payment internship in Singapore offers hands-on experience in fraud investigations, risk monitoring, and analytics within the risk team. Interns will conduct investigations, track model performance, and contribute to cross-functional initiatives while balancing fast-paced deadlines.

Open to students pursuing Business, Finance, Law, or Data Science degrees. Strong SQL and Python skills and English fluency are preferred; applications are reviewed on a rolling basis, with

Qualifications

• Pursuing a Bachelor's degree in Business, Finance, Law, Data Science or a related discipline.
• Strong SQL skills.
• Results oriented with ability to prioritize in a fast-paced environment.
• Confident communicator capable of interacting with cross functional teams.
• English fluency in listening and speaking.

Responsibilities

• Conduct fraud investigations to identify suspicious trends and resolve escalated issues from cross functional teams taking into consideration risk versus customer impact
• Implement on-going tracking and monitoring of the performance of decision systems and models and produce clear, understandable visualizations, dashboards and reports with support from the risk analytics team.
• Support the risk team with various initiatives and ad hoc projects as required
• Work individually and with peers to help achieve the overall goals of the risk team

Skills

Fluent English

Confident communicator

Results oriented

Cross-functional collaboration

Risk analysis mindset

Education

Bachelor's degree in Business, Finance, Law, Data Science or related

Tools

SQL

Python

Job description

ByteDance's Global Payment internship in Singapore offers hands-on experience in fraud investigations, risk monitoring, and analytics within the risk team. Interns will conduct investigations, track model performance, and contribute to cross-functional initiatives while balancing fast-paced deadlines.

Open to students pursuing Business, Finance, Law, or Data Science degrees. Strong SQL and Python skills and English fluency are preferred; applications are reviewed on a rolling basis, with