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Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?<b>About Binance Accelerator Program </b>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 <a href="https://www.binance.com/en/blog/all/early-career-program-how-binance-gears-up-early-career-talent-3048651" rel="noopener noreferrer nofollow ugc" target="_blank">HERE</a><b>Who may apply</b>Current University students and recent graduates who can commit at least 6 months tenure, minimum 3 days per week<h3>Responsibilities:</h3><ul><ul><li>Responsible for the research and implementation of algorithms in the fields of document OCR, image quality assessment, LLM AI agent, etc.</li><li>Involve in KYB/KYC business metrics analysis, related document OCR/document analysis algorithm implementation, performance evaluation, and data acquisition based on our application scenarios. </li><li>Involve in image/document analysis related to anti-money laundry (AML) or fraud detection.</li></ul></ul><h3>Requirements:</h3><ul><ul><li>Bachelor's degree or higher, with ongoing Master’s degree or Ph.D study majoring in computer science, data science, or other highly related areas, focusing research on LLM, CV, image processing, machine learning etc.</li><li>Passionate about AI with a clear understanding of AI-related applications (including LLM, AI Agent, OCR , etc.) and knowledge of related technical principles.</li><li>High enthusiasm, strong learning ability, and high emotional perception.</li></ul></ul>

Binance Accelerator Program - Data Scientist

Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange. Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.Data-driven based business is the core in helping us to use the cloud-native platforms to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analyses for continuous innovations. As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products that are used by our tens of millions of crypto-currency users. You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based on our rich data and cutting-edge machine learning technology.   To be successful in this role, you must be a quick learner, stellar machine learning skills with rich and solid experience from inception to business impact, strong communication capabilities and work well in cross-functional teams (e.g. with data users from different marketing and consumer team). This is a great opportunity to enhance your machine learning /data science skills in markets and familiarize with Blockchain based technology and etc while making a real impact on Blockchain and Crypto-Currency technology globally.<b>Responsibilities:</b>- Responsible for designing and managing search recommendation services and models - Knowledge of machine learning powered personalization methods, design patterns and tools- In-depth understanding of Recommendation systems with the business domain knowledge to take the impact of AI product to the next level- Drive the development of core modules with data-driven strategy to maximize the impact- Identify the needs and opportunities, define success metrics with Business and Product management teams<b>Requirements:</b>- MSc or Phd in Machine Learning, Computer Vision, Computer Science or Applied Mathematics with at least 5 years of relevant industry experience- Excellent hands-on experience with popular Machine Learning frameworks such as PyTorch or TensorFlow- Bilingual English/Mandarin is required to be able to coordinate with internal and external stakeholders.- Experienced in leading a team- Experience with application development practices at scale- Good global team collaboration skills and experiences are good add-ons as well- Publication record at top conferences and journals is a plusWe have multiple openings available and many more are coming due to our rapid growth of the business. Sample projects include: - User behavior and pattern analysis: KYC, Anti-Money Laundry, and abnormal user automated recognition to provide our users with safe and more accurate information service- Digital data asset: obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations.- Personalized recommender system: leverage of our PB-scale data warehouse to perform in-depth analysis and recommender system for our end-users- Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer’s feedback and satisfaction with proven data evidence and analysis <b>Working at Binance</b>• Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities• Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless• Tackle fast-paced, challenging and unique projects• Work in a truly global organization, with international teams and a flat organizational structure• Competitive salary and benefits• Flexible working hours, remote-first, and casual work attireLearn more about how Binancians embody the organization’s <a href="https://www.binance.com/en/blog/ecosystem/what-exactly-is-binances-culture-7265423" rel="noopener noreferrer nofollow ugc" target="_blank"><b>core values</b></a>, creating a unified culture that enables collaboration, excellence, and growth. Apply today to be a part of the Web3 revolution! Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. <i>By submitting a job application, you confirm that you have read and agree to our <a href="https://www.binance.com/en/candidate/privacy/notice" rel="noopener noreferrer nofollow ugc" target="_blank"><b>Candidate Privacy Notice</b></a>.</i>

Lead Data Scientist

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.<b>About Binance Accelerator Program</b>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 <a href="https://www.binance.com/en/blog/all/early-career-program-how-binance-gears-up-early-career-talent-3048651" rel="noopener noreferrer nofollow ugc" target="_blank">HERE</a><b>Who may apply</b>Current university students and recent graduates<h3>About the Role</h3><p>We are looking for a Data Scientist early careers talent to join the Binance Square team and support the development of next-generation recommendation and community intelligence systems.</p><p>Binance Square is evolving from a content feed into an intelligent Web3 financial community, helping users discover market trends, trading ideas, hot topics, and high-quality creators. In this role, you will work closely with data scientists, algorithm engineers, product managers, and business teams to improve content distribution, user engagement, and community growth through data-driven recommendation strategies.</p><h3>Responsibilities</h3>Analyze user behavior, content quality, creator performance, and feed consumption patterns to identify opportunities for recommendation improvement.Support the optimization of key recommendation scenarios, including Feed, Hot Tab, Topic, News, Trading Analysis, and creator distribution.Build and refine data metrics for content quality, user interest profiling, creator quality, community health, and trading-related content.Participate in recommendation strategy design, including recall, ranking, cold-start, diversity, personalization, and traffic allocation.Conduct A/B testing, metric monitoring, bad-case analysis, and experiment deep dives to evaluate algorithm and product impact.Explore the application of LLMs and multimodal models in content understanding, topic tagging, hot event detection, and personalized distribution.Work with engineering teams to improve data pipelines, feature logging, experiment tracking, and recommendation system efficiency.<h3>Requirements</h3>Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.Strong analytical skills and solid understanding of statistics, machine learning, and data mining.Proficient in SQL and at least one programming language such as Python.Familiar with recommendation systems, ranking models, user profiling, A/B testing, or causal analysis.Good business sense and ability to translate data insights into product or algorithm improvements.Strong communication skills and ability to work cross-functionally with product, algorithm, engineering, and operations teams.Interest in Web3, crypto, financial markets, online communities, or content recommendation is a plus.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.<i>By submitting a job application, you confirm that you have read and agree to our <a href="https://www.binance.com/en/candidate/privacy/notice" rel="noopener noreferrer nofollow ugc" target="_blank">Candidate Privacy Notice</a>.</i>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.

Binance Accelerator Program - Data Scientist (Recommendation/Square Community)

We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure.  This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer.The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time P&L visualization tools.<h3>Key Responsibilities: </h3><ul><ul><li>1. Trading Operations and P&L Analysis with AI</li><li>Manage the end-to-end lifecycle of trades across multi-asset classes.  Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations</li><li>Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports.</li><li>Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers.</li><li>2. Risk Monitoring & Control</li><li>Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks.</li><li>Develop and maintain sophisticated risk reporting dashboards for the desk.</li></ul></ul><h3>Requirements & Qualifications</h3><ul><ul><li>Experience: 5+ years in front-office operations, quant development, or a blend of risk management and systems architecture within a financial institution.</li><li>Technical Stack: Expert proficiency in Python (for AI/ML), and strong SQL skills. Experience building agentic AI workflows is a significant advantage.</li><li>Financial Acumen: Deep understanding of P&L attribution, financial controls, market risk indicators (Greeks, VaR), financial markets and products.</li><li>Problem Solving: A "systems-thinking" approach to operations—treating every manual task as a bug that needs an automated solution.</li><li>Capacity: Ability to thrive in a high-intensity environment requiring extended hours when necessary to meet global trading demands.</li><li>Agility: Willingness to participate in a rotational weekend and on-call schedule, providing immediate resolution to live production issues</li></ul></ul>We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.

Trading Ops & Risk Systems Engineer (AI & Automation)

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.<h3>Responsibilities</h3><ul><li> Produce institutional-grade data insights reports on macro trends and sector trends (DeFi, NFT, Gaming, Metaverse, L1/L2, Middleware) for internal stakeholders.</li><li>Analyze and interpret large volumes of on-chain transactional and operational data (EVM and non-EVM), including:  (1) Parsing complex smart contract interactions and multi-signature transactions;  (2) Tracing fund flows across wallets, bridges, DEXs, and CEXs; (3) Identifying whale movements, wash trading patterns, and MEV activities; (4) Reconstructing transaction graphs for forensic investigations</li><li>Leverage proprietary and open-source tools (Dune, Nansen, Arkham, custom scripts) to extract actionable intelligence from blockchain data</li><li>Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments</li></ul><h3>Requirements</h3><ul><li>3+ years experience in blockchain data analysis; Bachelor's in Computer Science, Math, or Statistics• Deep passion for Web3 data across DeFi, NFT, Gaming, L1/L2 ecosystems and key protocols</li><li>Advanced on-chain forensics expertise:  (1) Parse complex smart contract transactions (multicalls, batch txs, flashloans); (2) Trace fund flows across wallets, bridges, DEXs, and CEX deposit addresses; (3) Reconstruct transaction graphs and identify sophisticated laundering patterns; (4) Detect wash trading, MEV bots, and coordinated whale activities</li><li>Technical proficiency: (1) SQL, Python, GraphQL for large-scale blockchain data querying; (2) ETL pipelines and API integration (Dune, Nansen, Arkham, Glassnode, internal tools); (3) Smart contract analysis (Etherscan, BlockSec, custom decoding scripts)</li><li>Exchange data experience: (1) CEX deposit/withdrawal flow analysis; (2) Spot/futures volume attribution and fake volume detection; (3) Cross-chain bridge monitoring and liquidity flows</li><li>Familiar with Web3 infrastructure (L1/L2 addressing standards, metadata formats, RPC endpoints)</li></ul><b>Why Binance</b>• 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.<i>By submitting a job application, you confirm that you have read and agree to our </i><b><a href="https://www.binance.com/en/candidate/privacy/notice" rel="noopener noreferrer nofollow ugc" target="_blank"><i>Candidate Privacy Notice</i></a></b><i>.</i>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Research Data Analyst

4 link clicks.

eToro

<p>We are looking for an AI Software Engineer to join our team in Limassol, Cyprus. In this role, you will be responsible for developing and implementing machine learning algorithms and AI applications to improve our products and services.</p>

AI Software Engineer

Limassol

19 link clicks.

Quantitative Researcher (Convert)

22 link clicks.

Data Scientist (Search & Recommendation)

6 link clicks.

Binance Accelerator Program - Data Scientist (TechOps)

5 link clicks.

Data Scientist, Market Growth (Lifecycle)

Web3 Security Data Analyst

Business Intelligence/ Data Analyst

Web3 Machine Learning jobs in AsiaBinance, eToro and other crypto companies

Browse 7+ Web3 Machine Learning jobs in Asia at Binance, eToro. Apply now! Updated September 2026

Job Title	Company Name	Location	Tags	Posted
AI Software Engineer	eToro	📍 Limassol, Cyprus	AIMachine LearningEngineeringFull Time	3w
Quantitative Researcher (Convert)	Binance	📍 Taiwan, Taipei, Singapore	Web3ResearchTradingAnalyst	3w
Data Scientist (Search & Recommendation)	Binance	📍 Asia	Web3PHDRemoteExchange	3w
Binance Accelerator Program - Data Scientist (TechOps)	Binance	📍 Taiwan, Taipei	Web3RemoteFull TimeExchange	3w
Data Scientist, Market Growth (Lifecycle)	Binance	📍 Hong Kong / Taiwan, Taipei / Australia, Brisbane / Australia, Melbourne / Australia, Sydney / Japan, Tokyo / South Korea, Seoul / Philippines, Manila / Asia	Web3ResearchMarketingTrading	2w
Web3 Security Data Analyst	Binance	📍 Taiwan, Taipei / Hong Kong / Asia	Data AnalystSecurityPythonMachine Learning	2w
Business Intelligence/ Data Analyst	Binance	📍 Hong Kong / Taiwan, Taipei / Asia	Data AnalystDataMachine LearningAI	1w
Past and filled jobs:
Binance Accelerator Program - Data Scientist	Binance	📍 Taiwan, Taipei, South East Asia	Web3ResearchTradingPHD
Lead Data Scientist	Binance	📍 Asia	Web3RemoteMarketingLegal
Binance Accelerator Program - Data Scientist (Recommendation/Square Community)	Binance	📍 Hong Kong / Taiwan, Taipei / Asia	DataMachine LearningAIInternship
Trading Ops & Risk Systems Engineer (AI & Automation)	Crypto.com	📍 Hong Kong, Hong Kong SAR	Web3DeveloperTradingPython
Research Data Analyst	Binance	📍 Hong Kong / Taiwan, Taipei / Asia	Web3ResearchTradingEngineering

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