Binance Accelerator Program - Data Scientist, LLM Agents & Fraud Detection (P2P)
Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 30, 2026.
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 the Role:
As a Data Scientist 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.
What You’ll Do:
- Design, develop, and assess AI models focused on detecting P2P scams.
- Design, evaluate, and improve the agentic workflows and prompts of LLM agents in the P2P domain.
- Fine-tune smaller LLMs/VLMs (e.g. supervised fine-tuning, reinforcement learning) to improve detection accuracy and efficiency.
- Collaborate closely with data scientists and engineers to optimize the detection pipeline and deliver actionable insights to key stakeholders.
What We’re Looking For:
- Currently enrolled as a full-time or part-time undergraduate, Master’s, or PhD student, or a recent graduate.
- Solid understanding of AI principles and mathematical foundations, including deep learning, generative AI, reinforcement learning, prompt engineering, and optimization techniques.
- Experience in building agentic workflow and its applications.
- Strong interest in fine-tuning small LLMs or VLMs (e.g. SFT, LoRA, reinforcement learning).
Nice to Haves:
- Commitment to a minimum duration of 1 year.
- Proficiency in programming languages, particularly Python and SQL.
- Practical experience with LLM applications, prompt optimization, or NLP/CV models.
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.
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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.