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, 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.
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 team
Ready to defend one of the most dynamic platforms in crypto? Join the Risk Tech Team at Binance, where we build real-time risk control systems that protect hundreds of millions of users and billions of dollars in daily trading volume. We tackle fraud detection, anti-money laundering (AML), account security, transaction monitoring, and adversarial behavior at scale — combining rule engines, big data, and AI/ML to stay ahead of evolving threats. If you're excited about high-throughput systems, low-latency decisioning, and solving cat-and-mouse problems that directly safeguard user assets, this is the team for you.
- Participate in the design, development, and maintenance of Binance's core risk control platform and decisioning services
- Contribute to the implementation of real-time risk rules, scoring models, and feature pipelines for fraud, AML, and account security scenarios
- Write and maintain technical documentation for risk service interfaces and business modules
- Demonstrate strong troubleshooting skills to resolve issues raised by the QA team and ensure system stability
- Collaborate with the Risk Operations and CS teams to investigate cases, classify root causes, and feed insights back into system improvements
- Computer Science or related major, Bachelor's or Master's degree
- Solid Java foundation with a good understanding of fundamentals such as multithreading, concurrency, JVM, and networking
- Familiar with the Spring / Spring Cloud microservice framework and its underlying mechanisms
- Familiar with MySQL and common middleware such as Redis, RabbitMQ, and Kafka
- Interest in risk control, anti-fraud, big data, or AI/ML applied to security scenarios is a strong plus
- Strong logical thinking, a good sense of teamwork, and strong learning ability
- Experience contributing to open source projects 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.
By submitting a job application, you confirm that you have read and agree to 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.
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