Data Scientist, Risk (Machine Learning & Fraud Detection)
Binance
Estimated Salary: $128K-$212K
Location: Taiwan, Taipei / South East Asia / Thailand, Bangkok / Australia, Brisbane / Australia, Melbourne / Australia, Sydney / Argentina, Buenos Aires / Czech Republic, Prague / Hungary, Budapest / New Zealand, Auckland / New Zealand, Wellington / Sri Lanka, Colombo
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
We are seeking a highly skilled and motivated
Data Scientist
to join our Fraud Detection & Risk Intelligence team. In this role, you will focus on identifying on-chain and off-chain fraud groups, uncovering complex user relationships, and building scalable machine learning models and data pipelines. Your work will be critical in protecting our ecosystem and users from evolving fraud patterns.
You will work cross-functionally with risk engineers, data engineers, product managers, and operations teams to convert large-scale, complex data into actionable insights and real-time protections.