Binance Accelerator Program - Data Scientist (Risk Management)
Job Description
- 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.
- 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.
- Shape the future with the world’s leading blockchain ecosystem
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle unique, fast-paced projects with autonomy in an innovative environment
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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
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.
Why Binance
- Shape the future with the world’s leading blockchain ecosystem
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle unique, fast-paced projects with autonomy in an innovative environment
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
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