Binance Logo

Binance

Binance Accelerator Program - Applied Data Scientist

Reposted One Month Ago
In-Office or Remote
Hiring Remotely in Singapore, SGP
Entry level
In-Office or Remote
Hiring Remotely in Singapore, SGP
Entry level
Early-career role building and evaluating LLM-powered agentic trading systems for crypto markets. Develop pipelines, prompt strategies, retrieval, model evaluations, and ship Python code for production features.
The summary above was generated by AI
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.
 
About Binance Accelerator Program
Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.
 
Who may apply
Current university students and recent graduates.
*Terms of employment / engagement shall be subject to contract and local applicable laws
 

About the Role

    You'll work directly on the AI systems powering Binance AI Products and next-generation agentic trading features — alongside the full-time algorithm team, on real production challenges.

    You own deliverables, run experiments, and ship code that matters. You build components of AI systems (agents, pipelines, evaluation tools), debug real systems, and work with engineers to ship features that reach users.

    This is not a "watch and learn" program. You are expected to build, contribute, and ship.

Responsibilities

  • Contribute to the design and development of LLM-powered pipelines for agentic trading — including reasoning agent components, tool-use frameworks via MCP, and automated workflow execution across crypto markets.

  • Build and evaluate prompt engineering strategies, test-time scaling approaches, and retrieval architectures for crypto-native data sources — on-chain data, market feeds, news, and sentiment signals.

  • Design and run model evaluation experiments — defining quality metrics for agent reasoning in financial contexts, executing benchmarks, and synthesizing results into actionable findings.

  • Analyze agent performance characteristics in live trading scenarios — covering decision accuracy, latency, reliability, and adversarial robustness.

  • Apply AI-native development practices using agentic coding tools as a standard part of the engineering workflow — writing and executing Python code for strategy logic, data pipelines, and agent evaluation.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.

  • Expected graduation in 2026 or 2027.

  • Strong Python programming skills with demonstrated AI-native development practices — you use agentic coding tools (Claude Code, Cursor, GitHub Copilot Workspace) as a core part of your workflow.

  • Foundational understanding of how large language models work — attention mechanisms, prompting, and the difference between standard generation and reasoning models.

  • Structured problem-solving approach and ability to operate independently on defined tasks.

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.

HQ

Binance Singapore, Singapore, SGP Office

Singapore, Singapore

Similar Jobs

3 Hours Ago
In-Office or Remote
Singapore, SGP
Junior
Junior
Artificial Intelligence • Fintech • Software • Automation
Owns post-onboarding relationships for 200–250 Growth-tier SaaS accounts. Responsibilities include monitoring account health, improving retention and renewals, validating data quality, managing escalations, coordinating with Sales, Finance, Product, and Engineering, maintaining customer records, and developing scalable digital customer success playbooks, health scoring, automated outreach, and self-service content.
Top Skills: Admin PanelChurnzeroDevrevGainsightHubspotJIRA
3 Hours Ago
In-Office or Remote
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Fintech • Software • Automation
Lead and mentor a Southeast Asia engineering team; ensure code quality and testing; drive project progress; define integrations strategy; design, build, and maintain third-party integrations; align engineering efforts with product and leadership.
Top Skills: Aws ServerlessFastapiLambdaPostgresPythonReact
3 Hours Ago
In-Office or Remote
Singapore, SGP
Mid level
Mid level
Artificial Intelligence • Fintech • Software • Automation
Drive simplification and automation of tax operations for a B2B SaaS product. Gather requirements, launch automation features, partner with engineering, design, and operations, and integrate third-party tools to deliver end-to-end solutions.

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account