AI Risk & Fraud Detection Scientist Intern

Binance; Sydney; On-site; AUD 34,000 - 48,000; Full time

Benefits offered by this job

Remote-first

Mentorship

Exposure to Risk AI

Job summary

Binance is seeking an intern for its Risk AI team in Sydney to work on AI-driven risk management and fraud detection. You will apply ML, LLMs, agents and data analytics to identify vulnerabilities and build scalable risk control solutions.

You will collaborate with risk operations, engineering and security, translating research into production features and monitoring tools. This internship offers mentorship and exposure to cutting-edge fintech challenges.

Qualifications

• Currently enrolled in a Master’s or PhD programme at a QS Top 50 university.
• Majoring in Computer Science, AI, ML, Statistics, Data Science or related field.
• Hands-on experience in AI/ML, data analytics or risk management.
• Strong foundations in machine learning, statistics and model evaluation.

Responsibilities

• Research, design and build ML/AI models to detect fraud and abnormal behaviour across the platform.
• Analyse large-scale transactional, behavioural, device and on-chain data to find patterns and gaps in controls.
• Explore how LLMs, agents and graph learning can be used in risk scenarios and real-time monitoring.
• Build PoCs to test new detection ideas and deliver reproducible results.
• Help move validated prototypes into production risk models and monitoring tools.
• Track latest research in AI, fraud, and Web3 security and translate lessons into improvements.

Skills

ML research

Fraud detection

Data analytics

Python

Communication

Education

MS/PhD student

Tools

LLMs

Prototyping tools

Job description

Binance is seeking an intern for its Risk AI team in Sydney to work on AI-driven risk management and fraud detection. You will apply ML, LLMs, agents and data analytics to identify vulnerabilities and build scalable risk control solutions.

You will collaborate with risk operations, engineering and security, translating research into production features and monitoring tools. This internship offers mentorship and exposure to cutting-edge fintech challenges.