Binance

Communications

• Own the series end-to-end by proactively sourcing and selecting strong story candidates across business units and teams, building trust quickly and running interviews that uncover real moments (stakes, decisions, tradeoffs, outcomes), and writing compelling short-form stories with clear narrative arcs that connect actions to values. You’ll also create and maintain a repeatable workflow from outreach to publishing, including intake, drafting, review, approvals, and a content tracker to manage the pipeline, statuses, and publishing calendar.
• Own the series end-to-end by writing bite-sized “pearls” grounded in Binance’s values, principles and the monthly theme, translating those principles into practical, plain-language insights that are easy to remember.
• Support adapting and publishing Culture content across internal and external channels as needed, tailoring copy for different platforms while keeping messaging consistent. You’ll help coordinate inputs and approvals, and ensure content is delivered cleanly and on time for each channel.
• Own the ad-hoc series, such as AI use cases to drive AI adoption & transformation, by sourcing, selecting, and writing authentic stories that inspire innovations published internally and externally.
• Other ad-hoc support to internal communications, culture and employer branding: Such as support to internal AMAs, talent / hiring campaigns, and internal culture activities & workshops.

Internal Communications, Culture & Employer Brand

Data Analyst

• Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
• Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
• Analyse data independently to deliver insights about operational performance and proactively drive improvements
• Write and optimize SQL queries to extract, clean, and analyze data from multiple data sources
• Act as a strategic data business partner to your stakeholders
• Support ad-hoc analysis requests from business and operational teams
• Be part of a fast-paced industry and organisation where time to market is critical

Business Intelligence, Data Analyst

Affiliate Manager

• Assist in preparing and launching global marketing campaigns
• Coordinate with cross-functional teams to ensure timely delivery of campaign milestones
• Track key campaign metrics such as registrations, participation, and engagement levels
• Support the creation of weekly reports and recap presentations
• Help organize promotional materials and develop clear campaign briefs
• Assist in monitoring reward distribution and overall campaign progress

Affiliate Campaign Manager

• Assist in growing the affiliate network through outreach to YouTubers, media outlets, influencers, and other potential partners
• Support negotiations, onboarding, and documentation processes for new affiliates
• Help manage key affiliate accounts by maintaining regular communication and analyzing their performance data
• Contribute to the creation and execution of promotional campaigns focused on maximizing ROI
• Build and maintain reports using internal data to optimize affiliate channel performance
• Monitor competitor activities and assist in adjusting affiliate strategies accordingly
• Support fraud detection efforts by identifying potential scams or manipulations within the affiliate network

Affiliate Business Development

QA Engineer

• Design and execute end-to-end testing strategies for LLM-based consumer products (functionality, data, model behavior)
• Verify the correctness, consistency, stability, and safety of LLM outputs
• Regression testing and risk assessment for model updates / prompt iterations / data changes
• Design and develop automated testing and QA tools to improve testing efficiency and coverage
• Use or introduce AI technologies (such as LLM) to enhance test design, defect analysis, and test case generation capabilities

Senior QA Engineer – AI/LLM

Data Scientist

• Develop cutting-edge algorithms for transaction analysis, entity clustering, risk assessment, and pattern recognition
• Design address clustering algorithms for UTXO chains with near 100% accuracy
• Build and optimize risk scoring models to assess address and entity risk levels
• Develop detection systems for illicit activities
• Monitor algorithm performance and maintain <1% false positive rate
• Conduct root cause analysis and implement improvements
• Research graph neural networks for risk propagation

Senior Data Scientist

• Work closely with team members to test and deliver high quality products.
• Understand business scenarios and tech design, design and develop test cases, and organize test case reviews.
• Execute test cases and identify issues through functional and regression tests.
• Identify, track bugs to be fixed and make sure delivery on time.

QA Engineer – Cloud

• Working across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments
• Producing data insights reports on macro trends as well as sector trends, including but not limited to DeFi, NFT, Gaming, Metaverse, L1/L2 and Middleware etc.
• Analyze and interpret large volumes of on-chain transactional and operational data (both EVM and non-EVM) using proprietary and open source data tools, platforms and analytical tool kits
• Processing confidential data and information according to guidelines
• Managing and designing the reporting environment, including data sources, security, and metadata
• Troubleshooting the reporting database environment and reports

On Chain Research Data Analyst

Data Engineer

• Deploy and manage AI evaluation processes across our infrastructure.
• Process and perform comprehensive data analysis to identify trends, inconsistencies, and opportunities for model enhancement.
• Build and maintain scalable data pipelines.
• Collaborate with cross-functional teams to embed security and compliance considerations into the development lifecycle.
• Automate repetitive workflows and implement solutions to improve operational efficiency.

Data Engineer, Analytics

Security Engineer

• Design, develop, and maintain security automation and SOC tooling, including integrations with SIEM, EDR, cloud services, and internal security platforms
• Develop services, scripts, and pipelines to automate alert enrichment, correlation, response, and investigation workflows
• Build and maintain API-based integrations with security tools, AWS services, and internal systems
• Support and enhance SIEM platforms for ingestion, alerting, and investigation
• Participate in security detection engineering, including log parsing, data normalization, and detection logic implementation
• Assist in security incident response, including triage, investigation, containment, eradication, and post-incident analysis
• Take part in SOC on-call rotation / shift duty, responding to security alerts and incidents as required
• Work closely with SOC analysts to translate operational needs into scalable engineering solutions, debug, troubleshoot, and optimize existing security automation, CI/CD pipelines, and platform components etc.

SOC Security Engineer

Product Manager

• Support requirement gathering and refinement.
• Conduct market research, user feedback analysis, and competitive benchmarking to inform OKRs.
• Collaborate with PMs, engineers, sales, and ops teams to execute tasks, track progress.
• Monitor metrics (e.g., client retention, system stability) and iterate on features to support VIP experience and business scalability.
• Drive AI adoptions in product development.

VIP Institution Product Manager

Frontend Engineer

• Assist in the development and maintenance of our products, using frontend tech stack (TS, React, etc) and NodeJS.
• Collaborate closely with Binance Wallet team and local team to ensure seamless implementation of new features and user interfaces.
• Work with cross-functional teams (such as security, IT, infra, etc) to identify and solve other issues
• Continuously learn and keep up-to-date with the latest front-end technologies and best practices.
• Continuously learn and keep up-to-date with the latest front-end technologies and best practices.

Frontend Engineer, Current University Students

Financial Planning and Analysis

• Assist in gathering, organizing, and verifying financial documents and records for tax and statutory audits.
• Support the preparation of audit schedules and reconciliation reports.
• Coordinate with internal teams to collect necessary documentation and ensure completeness and accuracy.
• Help maintain proper filing and documentation systems for audit readiness.
• Assist in responding to auditor queries and requests for information.
• Support compliance with local tax regulations and statutory requirements.
• Perform other finance-related administrative tasks as needed.

Finance – Binance Accelerator Program

Android Engineer

• Develop and optimize client-side RTC/live streaming interaction capabilities: co-streaming (joining/leaving the stream), audio routing, in-ear monitoring/audio mixing, weak network strategies, video quality/bitrate adaptation, and foreground/background/system interruption handling.
• Deeply integrate third-party RTC SDKs (e.g., Agora) or in-house SDKs: integration, version upgrades, parameter management, compatibility and regression testing, online issue troubleshooting (via logs/callbacks/state machines).
• Responsible for client stability and performance: audio/video threading models, CPU/memory/power optimization, end-to-end latency reduction, troubleshooting of complex issues such as stuttering, no audio/black screen.
• Build client observability: key path instrumentation, QoS reporting, exception capture, automatic issue attribution (network/device/permissions/state machine/SDK).
• Collaborate with server-side, testing, and operations teams: formulate stress testing plans, conduct rehearsals, and handle online incident emergency response and post-mortems.

Client-Side Audio/Video Development Engineer – Android, iOS, Web

Account Manager

• Incident Handling
• Support projects during major incidents (e.g. hacking/security incidents, collapse of CEX, etc)
• Identify root cause and assess impact of incident on Binance and Projects
• Work with internal BUs and external project to minimize impact
• Research and Risk Management
• Conduct review on performance of listed tokens
• Understand quantitative and qualitative metrics use in reviewing tokens – e.g. product adoption metrics, on-chain metrics, project development, community sentiments, etc
• Identify risks associated with tokens
• Recommend and implement measures on based on risks associated with token
• Evaluate requests from listed projects (rebrand, mainnet integration, swap, etc)
• Write concise reports on risks identified, requests and incidents
• Drive initiatives to improve risk detection and risk mitigation
• Operations
• Onboard new listings (e.g. gather key info, prepare for trading)
• Liaise with all parties to facilitate operational requests by listed tokens (e.g. airdrop, cross chain swap, old to new swap, etc)
• Optimize process/SOP