Binance Accelerator Program - Data Scientist (Risk Management)
Asia
Binance
Binance is the largest cryptocurrency exchange by trading volume, serving 185M+ users across 180+ countries. With over 350 listed Altcoins, it is the world’s leading crypto exchange.About Binance Accelerator Program Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career.
Learn about BAP Program HERE Who may apply Current university students and recent graduates.
About the teamAs a Data Science Intern on our team, you’ll be at the forefront of safeguarding Binance’s ecosystem by leveraging data to detect anomalies, assess threats, and predict potential risks across the platform. Our mission is to build intelligent, scalable systems that proactively identify fraud, prevent abuse, and ensure the integrity of user activity—without compromising on performance or user experience. Join us in building a safer, smarter crypto future.
About the roleOur business is fundamentally data-driven, harnessing a cloud-native platform to support tens of millions of cryptocurrency users. Engineers and data scientists across the company utilise this platform to carry out meaningful and impactful analysis that fuels ongoing innovation. As a data scientist, you’ll have the opportunity to work with vast datasets (at petabyte scale) and cutting-edge machine learning infrastructure to develop data products that serve our extensive global user base. You’ll work in close collaboration with a talented team of engineers, data analysts, business operations specialists, and product/marketing managers to design and deliver solutions, features, algorithms, and products—powered by our rich data and state-of-the-art machine learning technology.
Responsibilities:
- Develop and evaluate AI models for KYC fraud detection, especially in face verification and document forgery use cases.
- Explore and prototype LLM-based solutions to automate case review, generate rule-based explanations, and assist in fraud pattern mining.
- Utilise our petabyte-scale data warehouse to conduct in-depth analyses aimed at delivering personalised services and enabling automated detection of abnormal user behavior.
- Collaborate with data scientists and engineers to optimize detection pipelines and provide actionable insights to stakeholders.
Requirements:
- Able to commit for at least 6-12 months.
- Currently enrolled as a full-time undergraduate or graduate student.
- Hands-on experience in developing image analysis and video analysis models.
- Strong grasp of AI concepts and mathematical foundations, including deep learning, generative AI, reinforcement learning, prompt engineering and optimisation techniques.
- Proficiency in programming languages such as Python, SQL is preferred.
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Blockchain Crypto Data warehouse Deep Learning Engineering Finance Generative AI LLMs Machine Learning ML infrastructure Pipelines Privacy Prompt engineering Python Reinforcement Learning Research Security SQL
Perks/benefits: Career development Competitive pay Transparency
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