Jobs at Binance

Supports the legal team with vendor setup, payment processing, budget and transaction records, stakeholder inquiries, workflow improvements, meeting coordination, departmental events, onboarding, and administrative support. The role requires strong organization, attention to detail, spreadsheet and database skills, independent ownership, and English/Mandarin bilingual communication.

Design, build, and operate Java backend services, REST APIs, compliance capabilities, and analytics products. Develop blockchain data pipelines, model relational and NoSQL data, optimize queries, and improve production reliability, observability, and performance. Translate regulatory requirements into technical solutions while collaborating with compliance and product specialists. The role may also involve AWS infrastructure, Kafka, crypto integrations, and AI-assisted development tools.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

Own the end-to-end lifecycle of data-driven derivatives product initiatives, from identifying opportunities through launch and optimization. Analyze trading and user behavior data, define product roadmaps and success metrics, design experiences that improve engagement and conversion, and collaborate with Engineering, UX, Marketing, Compliance, and global stakeholders. The role requires derivatives trading knowledge, strong analytical and product management skills, bilingual English/Mandarin communication, and experience shipping data-driven products.

Build and maintain React and TypeScript frontend features for a multi-chain DEX analytics and trading platform. Collaborate with product and backend engineers, debug and test applications, optimize UI performance, and stay current with DeFi, DEX, and on-chain trading technologies. The role also involves applying AI tools to improve development efficiency, with Web3, real-time data, and on-chain trading experience advantageous.

Build and operate production-grade AI data pipelines and financial knowledge services for equities content. Responsibilities include processing text, tables, documents, and multimedia; creating knowledge bases and search indexes; engineering RAG retrieval and citation systems; integrating LLMs and NLP models; managing orchestration, APIs, quality, cost, observability, reliability, and scalable production operations.

Develop and maintain web applications for Binance’s internal teams, including AI-driven and business-critical products. Collaborate with global cross-functional teams, integrate APIs and AI models, write comprehensive unit tests, manage feature releases, troubleshoot defects, and optimize performance. The role requires production JavaScript experience, React and Vue expertise, strong UI development skills, and familiarity with remote data and AI technologies.

Provide end-to-end legal counsel for cryptocurrency and financial product development, launch, documentation, user terms, commercial agreements, and ongoing governance. Advise product, compliance, risk, and business teams on global regulatory considerations, negotiate complex financial and technology product terms, support legal projects, and mentor Product Legal colleagues. The role requires qualified legal expertise, strong financial services or fintech experience, and familiarity with digital-asset regulatory frameworks.

Manage operations for Binance Wallet's Web3 products: analyze blockchain market and on-chain user data, design and execute growth and community strategies, coordinate cross-functional project delivery, monitor metrics (on-chain volume, DAU, retention, conversion), and produce data-driven reports to drive product iteration and user growth.

Participate in developing and maintaining core products, implementing business-module interface documentation, troubleshooting QA-reported issues, and supporting customer-service teams with problem resolution and system improvements. The role requires Java and Spring microservices knowledge, database and middleware experience, strong communication skills, and collaboration in a global blockchain environment.

Participate in developing and maintaining core products, compiling business-module interface documentation, troubleshooting issues identified by QA, and assisting customer support with problem resolution and system improvements. The role requires Java and Spring microservices knowledge, database and middleware familiarity, strong communication, teamwork, and logical problem-solving skills.

Internship data analyst supporting dashboard monitoring, user behavior and content ecosystem analysis, A/B test evaluation, campaign performance analysis, data quality assurance, and metric documentation. The role uses SQL and Excel to derive insights on engagement, retention, conversion, and creator ecosystems, while collaborating with product and operations teams in a blockchain and digital assets environment.

Develop user-facing financial AI and equity research algorithms across query understanding, document processing, entity recognition, event detection, retrieval, ranking, and quality evaluation. Build datasets, labeling systems, benchmarks, and production evaluation frameworks. Apply large language models, NLP, machine learning, reinforcement learning, knowledge graphs, and multimodal methods while collaborating with engineers to deploy and continuously optimize financial data and knowledge systems.

Support planning and executing global marketing campaigns: design campaign rules, configure and test launches, monitor performance, analyze user behavior, produce reports, and optimize operational processes and documentation to improve efficiency and campaign ROI.

Designs and develops blockchain security products, core frameworks, APIs, infrastructure, and automation for large-scale distributed systems. Responsibilities include architecture standards, performance tuning, incident troubleshooting, system refactoring, continuous delivery, capacity management, and reusable libraries. The role also engages users, coordinates with cross-functional teams, and addresses security risks involving blockchain, smart contracts, wallets, and on-chain attacks.

Early-career data scientist role to analyze user and content data, build metrics, design recommendation strategies (recall, ranking, cold-start, diversity), run A/B tests, evaluate experiments, explore LLM/multimodal applications, and improve data pipelines and feature logging.

Designs and develops content governance platforms, anti-abuse tools, rule engines, and scalable governance pipelines. Integrates recommendation systems, implements content takedown policies, and builds capabilities for content review, risk detection, policy enforcement, and effectiveness analysis. The role addresses spam, fraud, traffic diversion, low-quality content, and black- or gray-market activity while collaborating with product, operations, algorithm, and business teams.

Own the finance inventory platform roadmap and product lifecycle, including requirements, integrations, UAT, releases, troubleshooting, and data migrations. Build Python, SQL, VBA, dashboard, and low-code tools independently while automating finance workflows with AI, LLMs, copilots, and RPA. Lead ERP integrations, reconciliations, documentation, and scalable finance transformation initiatives while managing stakeholders across operations and senior leadership.

Conduct internal control reviews, identify risks, recommend improvements, support regulatory examinations and external audits, track remediation actions, maintain GRC systems, and improve control processes and documentation. The role partners cross-functionally to strengthen risk and control culture and requires expertise in SOX, ICFR, business controls, and IT controls.

Analyze traditional finance market data and competitive positioning to identify tokenisation opportunities. Develop pricing, market-entry, deal-structuring, and go-to-market recommendations; source and engage potential partners; manage deals from outreach through closing; negotiate partnership economics; and provide market intelligence to shape strategy. Collaborate with product, legal, compliance, engineering, data, and leadership teams to execute partnerships.