Binance Accelerator Program - Data Scientist, AI (KYB/KYC Transaction Monitoring)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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, and more. Our mission is to increase the freedom of money and financial access for people around the world.

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 We are looking for someone who is careful, detail-oriented, and interested in LLMs and AI Agents.

What you will work on: You will support AI-related projects in compliance and risk control areas, including:

• KYC (Know Your Customer): helping improve processes for identity verification, document review, and user onboarding

• KYB (Know Your Business): supporting business entity verification and related due diligence workflows

• EDD (Enhanced Due Diligence): assisting with more complex review cases, risk signals, and investigation support

• Helping test and optimize LLM/Agent-based workflows for compliance operations

• Reviewing prompts, automation logic, and model outputs

• Documenting findings, edge cases, and process improvements

• Supporting small-scale implementation, evaluation, and operational analysis tasks

Requirements

• Undergraduate or postgraduate background in business data analytics, computer science or a related field.

• Some hands-on experience with LLMs, prompt engineering, or AI Agents

• Basic coding or scripting ability is a plus

• Interest in compliance, risk control, or operational efficiency is a plusIf you are reliable, practical, and excited about applying AI to real business workflows

• Responsible and patient in repetitive or process-heavy work

• Excellent written and verbal communication skills in Mandarin to be able to coordinate with internal and external stakeholders.

• Capable of creating clear documentation and presentations.

• Strong sense of ownership, with a collaborative, hands-on approach to problem-solving.

• Ability to work effectively in cross-functional teams and adapt to a fast-paced, evolving environment.

Why Binance

• Shape the future of finance

• Collaborate with world-class talent in a user-centric global organization with a flat structure

• Tackle challenging projects in a fast-paced and innovative enviornment with autonomy

• Thrive in a results-driven workplace with opportunities for career growth and continuous learning

• Competitive salary and company benefits

• Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

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 acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.