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We are looking for a Senior Frontend Engineer to design and build Cloud Exchange and other products in our ecosystem.
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Lead marketing spend, planning and evaluation across marketing areas (eg performance marketing, PR & Branding, user campaigns, affiliates & KOLs, events & sponsorships).
Analyze the effectiveness of marketing investments, derive insights on ROI, and develop high-impact recommendations for executive business leaders.
Partner with Accounting to ensure accurate monthly financial reporting of marketing activities.
Provide key data insights to help marketers shape new or existing campaigns, continuing to identify growth opportunities, and data-driven recommendations (including guidance on spend) to improve ROI and user growth.
Work with complex datasets, ensuring that our marketing activities are being tracked and measured appropriately by working with cross-functional stakeholders.
Build relationships and collaborate with leaders across Marketing, Data, Regions and Finance team to find solutions to challenges
Drive continuous process improvement, standardization, simplification and reporting enhancements
8+ years of experience in an FP&A or strategic finance role supporting Marketing function or in a Marketing role supporting analytics & strategy with Finance background at a large internet company (B2C) Analytical problem solver with extensive experience building complex financial and/or operating models
Ability to craft executive-level presentations and develop succinct narratives outlining the key points of a deliverable and next step action items
Demonstrated abilities to ask the right questions and to use sound business judgment when collaborating with a wide-range of stakeholders
Proficiency in using AI / experience in automation is an added advantage.
Proven proclivity for quickly identifying and methodically resolving potential road-blocks
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We are building out a new research function at the intersection of artificial intelligence and quantitative trading to improve the efficiency of execution algo models and more, and we are looking for a Junior Quantitative Researcher to be a founding member of this effort. You will work alongside senior quants, engineers, and traders to design AI-driven workflows that generate alpha signals, diagnose model and PnL behavior, and deepen our understanding of market microstructure.
This is a high-ownership role suited to someone who is genuinely excited about markets, has a strong research background, and is already building with modern AI tooling — including LLM-based agents. We are open to hiring at the fresh-PhD level, provided you can demonstrate research depth and a real interest in trading.
Signal research and construction. Develop, test, and productionize predictive signals across asset classes using a combination of statistical methods, machine learning, and AI agent–driven research workflows. Take ideas from hypothesis through backtest, validation, and deployment.
Root cause analysis (RCA). Investigate model behavior, signal decay, PnL attribution, and unexpected trading outcomes. Build tools — including agentic ones — that accelerate diagnosis and shorten the loop between observation and fix.
Market microstructure research. Study order book dynamics, execution costs, liquidity, and venue behavior to inform both signal design and execution strategy.
AI agent infrastructure for research. Help design and extend internal agentic systems that automate parts of the research pipeline — data exploration, hypothesis generation, backtest configuration, results summarization, and report drafting.
Collaborate broadly. Work closely with traders, engineers, and other researchers to turn ideas into live, monitored strategies.
PhD (recently completed or near completion) in a quantitative field — e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics, Electrical Engineering, Operations Research, or a related discipline.
Strong programming skills in Python; comfortable with the modern data and ML stack (NumPy, pandas, PyTorch or JAX, etc.).
Hands-on experience building with AI agents and LLM-based systems — for example, tool-using agents, multi-step reasoning pipelines, retrieval systems, or evaluation frameworks. We want to see that you have actually built things, not just read papers.
Solid grounding in statistics, probability, and machine learning, with the rigor to know when a result is real and when it isn't.
Genuine interest in financial markets and trading, demonstrable through coursework, personal projects, competitions, internships, or self-directed study.
Strong written and verbal communication; able to explain technical work clearly to a mixed audience.
Prior internship or research experience at a hedge fund, prop trading firm, market maker, bank, or fintech.
Exposure to market microstructure, limit order books, or high-frequency data.
Experience with backtesting frameworks, time-series analysis, or causal inference.
Familiarity with low-latency systems, or large-scale data infrastructure.
Publications, open-source contributions, or trading competition results.
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1. Participate in UI/UX design for internal innovation projects, including user research, interaction design, visual design, logo design, and icon creation;
2. Work with senior designers to understand product goals and create user-friendly design solutions;
3. Collaborate closely with product managers and engineers to ensure smooth implementation of design concepts;
4. Participate in user research and continuously improve product experience through feedback and iteration;
5. Keep up with design trends and explore new AI-driven design workflows;
6. Use AI design tools such as Figma Make, CodeX, and Google Stitch to improve design efficiency.
1. Bachelor’s degree or above in Design, HCI, Digital Media, or related fields is preferred;
2. Basic understanding of UI/UX design principles and workflows;
3. Passion for automotive, technology, and AI-related products;
4. Proficient in Figma and other common design tools;
5. Good communication skills, teamwork spirit, and willingness to learn;
6. Familiarity with AI-assisted design tools is a plus.
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Lead operational incident management involving Pix, SPI, DICT, banking partners, payment providers, and internal systems, including incident response, contingency planning, business continuity, root cause analysis, and operational governance.
Ensure operational adherence to Central Bank regulations, payment schemes, and internal compliance policies.
Coordinate dispute handling, refunds, chargebacks, MED processes, precautionary blocks, fraud prevention, and sensitive operational cases.
Lead payment operations across all payment products, including reconciliation, settlement, fund transfers, reversals, operational SLA management with banking partners, payment processors, technology vendors and third-party providers.
Support customer operations and critical escalations and regulatory channels, ensuring proper handling of sensitive complaints involving regulators
Define and monitor operational KPIs, service performance metrics, and executive dashboards to support strategic decision-making and operational efficiency.
Work closely with Product, Engineering, Compliance, Risk, Legal, Finance, and CX teams to improve operational efficiency, scalability and customer experience.
Proven experience in fintech, digital banking and payment institutions
Strong knowledge of Pix, payment operations, digital accounts, reconciliation, settlement, customer operations and backoffice processes.
Experience managing operational incidents, SLAs, financial partners and third-party vendors.
Strong analytical and problem-solving skills with experience managing operational KPIs.
Knowledge of Central Bank regulated operations and payment ecosystem requirements.
Experience working cross-functionally with Product, Engineering, Compliance, Risk, Legal, Finance and Customer Support teams.
Hands-on, structured, resilient, and execution-oriented profile.
Strong communication and crisis management skills.
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Lead the strategy for fraud prevention and detection across digital platforms and the PIX environment.
Act as a subject matter expert on regulatory requirements applicable to fintech and financial services.
Design, implement, and enhance anti-fraud frameworks, policies, and controls.
Drive continuous improvement initiatives for fraud detection systems and operational processes.
Collaborate closely with Technology, Product, Compliance, and Legal teams to deliver effective solutions.
Analyze data and metrics to identify fraud patterns, trends, and vulnerabilities.
Define and monitor KPIs related to fraud prevention and operational efficiency.
Manage third-party vendors and fraud prevention tools.
Lead, mentor, and develop the fraud prevention team.
Support internal and external audits and maintain relationships with regulators.
Strong experience in fraud prevention within financial services or fintech.
In-depth knowledge of regulatory and compliance frameworks.
Proven track record in implementing and improving anti-fraud systems and processes.
Experience with transaction monitoring, KYC, AML, and authentication tools.
Strong analytical and data-driven mindset.
Leadership and project management experience.
Advanced or fluent English (mandatory)
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We are seeking a highly skilled Senior Compliance & Regulatory Specialist to support the Head of Compliance in managing regulatory matters and ensuring adherence to the Brazilian financial regulatory framework.
The ideal candidate is a qualified lawyer with strong experience in financial services regulation, particularly within Payment Institutions and Broker-Dealers (DTVMs), and is comfortable operating in a fast-paced, highly regulated environment.
Support the Head of Compliance in interactions with the Banco Central do Brasil, including regulatory inspections, requests, and supervisory processes (e.g., DECON).
Act as a secondary point of contact for regulatory matters, ensuring continuity and consistency in communications with regulators.
Prepare, review, and coordinate responses to regulatory inquiries, audits, and information requests.
Interpret and operationalize regulatory requirements applicable to Payment Institutions, DTVMs, and similar entities.
Monitor regulatory developments and proactively assess impacts on the business.
Support licensing processes, filings, and regulatory submissions.
Assist in the development and maintenance of internal policies, procedures, and controls aligned with local regulations.
Work closely with Central Compliance, Legal, Risk, and Product teams to embed regulatory requirements into business operations.
Provide regulatory support and insights to internal stakeholders and senior management.
Ensure alignment with AML/CFT, KYC, and internal control frameworks.
Law degree (LL.B.) and qualification to practice law in Brazil.
Strong experience in regulatory compliance within financial institutions.
Experience interacting with the Banco Central do Brasil, preferably with exposure to supervisory processes (e.g., DECON).
Solid knowledge of the regulatory framework for Payment Institutions and DTVMs.
Familiarity with AML/CFT obligations and internal control structures.
Experience supporting regulatory submissions, audits, or supervisory reviews.
Strong analytical skills and attention to detail.
Excellent written and verbal communication skills.
Fluent English (mandatory).
Preferred Qualifications:
Experience in fintech, digital assets, or regulated innovative products.
Previous exposure to regulatory inspections or remediation processes.
Postgraduate degree in Financial Regulation, Compliance, or related fields.
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Monitor Pix transactions, availability, failures, rejections, refunds and operational disruptions on a daily basis.
Track operational and performance indicators such as transaction success rates, processing times, transaction volumes, complaints, refunds and fraud-related events.
Monitor system health, operational alerts, and payment processing anomalies.
Support operational incident management and escalation processes during critical events.
Act as Level 2 support for critical payment and operational cases escalated by Customer Support teams.
Investigate complex customer issues involving transactions, payment failures, refunds, reconciliation, and account-related incidents.
Serve as the operational intermediary between Customer Support and Technology teams.
Coordinate incident escalations and support crisis management during operational disruptions.
Work closely with Engineering teams to prioritize fixes, operational improvements and automation initiatives.
Support reconciliation and operational validation activities when required.
Experience in fintech, payment operations, customer operations, NOC, or digital banking environments.
Knowledge of Pix, payment flows, digital accounts, and financial operations.
Experience supporting operational incidents and customer escalations.
Strong analytical mindset and attention to detail.
Ability to work in fast-paced and high-pressure environments.
Familiarity with operational monitoring tools, ticketing systems, and incident management processes.
Strong communication and stakeholder management skills.
Hands-on and problem-solving oriented profile.
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The Compliance Analyst supports the Compliance function in fulfilling the firm’s regulatory, AML/CFT, sanctions, and governance responsibilities in line with Central Bank of Bahrain (CBB) requirements and internal policies and procedures. The role provides day-to-day support to the Deputy MLRO and MLRO across customer onboarding and reviews, KYC/KYB, CDD/EDD, transaction monitoring, investigations, sanctions screening, regulatory reporting, policy maintenance, compliance monitoring, record keeping, and general compliance administration. The role is expected to manage assigned tasks with a degree of independence, exercise sound judgment, and escalate issues appropriately.
Support the Deputy MLRO and MLRO in the day-to-day execution of the firm’s compliance, AML/CFT, sanctions, and financial crime responsibilities
Review and assess customer onboarding, KYC/KYB, CDD, EDD, periodic review, trigger-based review, and remediation cases prepared by the central team, and provide input, challenge, and recommendations to support decision-making.
Review higher-risk or escalated customer files, including source of funds, source of wealth, ownership structures, and supporting documentation, and assist in determining onboarding or ongoing customer suitability.
Review transaction monitoring alerts, investigations, case analyses, and customer activity assessments prepared by the central team, and support the identification, assessment, and escalation of unusual, suspicious, or potentially high-risk activity where appropriate.
Assist in the review and preparation of internal suspicious activity referrals, STR-related documentation, and other regulatory reporting or filing requirements under the direction of the Deputy MLRO and MLRO.
Support sanctions, adverse media, and PEP screening reviews, including the assessment and escalation of potential matches or higher-risk findings.
Assist in maintaining compliance-related records, registers, logs, trackers, and case files, including documentation relating to reviews, escalations, training, regulatory correspondence, and reporting obligations.
Support the preparation and submission of regulatory reports and returns, the implementation of applicable regulatory developments, and the review and enhancement of compliance policies, procedures, and controls.
Prepare internal compliance reports, management information, dashboards, committee materials, and updates for senior management, and support internal audits, regulatory inspections, and independent reviews.
Liaise with central teams and internal stakeholders across operations, customer support, legal, risk, product, and other business functions to support compliance reviews, investigations, reporting, and remediation actions.
Provide broader support to the Compliance Department, including training and guiding new joiners, preparing meeting materials and action trackers, and performing other compliance, AML/CFT, sanctions, monitoring, investigation, reporting, or regulatory-related duties as assigned by the Deputy MLRO or MLRO.
Bachelor’s degree or equivalent relevant experience, with 3–5 years of experience in compliance, AML/CFT, financial crime, or regulatory compliance, preferably within a regulated financial services, payments, or fintech.
Strong working knowledge of AML/CFT, sanctions, KYC/KYB, CDD, EDD, transaction monitoring, suspicious activity escalation, and financial crime risk management within a regulated business environment.
Good understanding of applicable CBB regulatory requirements, including AML/CFT obligations; familiarity with CBB Volume 5 would be an advantage.
Demonstrated experience in reviewing customer onboarding, periodic reviews, remediation cases, customer risk assessments, and higher-risk customer relationships across both individual and institutional customer types.
Proven ability to assess transaction monitoring alerts, unusual activity, sanctions/PEP/adverse media screening outcomes, and other escalations, and to exercise sound judgment in identifying and escalating financial crime risks.
Strong ability to review customer documentation, ownership and control structures, source of funds, and source of wealth information with a high level of accuracy, diligence, and professional judgment.
Experience supporting suspicious activity case handling, regulatory reporting, compliance monitoring, audits, inspections, or control reviews, with the ability to maintain clear, accurate, and audit-ready records.
Relevant certifications such as ACAMS, ICA, or equivalent would be an advantage.
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Support the Compliance & MLR Officer in implementing and maintaining the AML/CFT compliance framework aligned with UAE AML Law and applicable guidance set out by UAE regulators.
Assist with ongoing compliance with FATF standards and virtual asset-specific regulatory expectations.
Coordinate with free zone and federal regulators for inspections, audits, and information requests.
Assist in local oversight of global processes and procedures, including, but not limited to, transaction monitoring (fiat and onchain) and market surveillance.
Oversee day-to-day transaction monitoring alerts and investigate unusual or potentially suspicious activity.
Draft Suspicious Transaction Reports (STRs) and Suspicious Activity Reports (SARs) for review and submission by the MLRO to the UAE Financial Intelligence Unit (GoAML).
Support the development and tuning of automated monitoring systems
Assist in drafting and updating AML/CTF policies, procedures, and risk assessments.
Deliver AML/CFT awareness training to staff and provide ongoing guidance on regulatory developments.
High attention to detail and investigative mindset.
Strong communication skills, with the ability to distill complex compliance matters for internal and external stakeholders.
Ethical, discreet, and able to handle sensitive information with integrity.
Proficient in compliance tools, case management systems, and blockchain forensics platforms (e.g., Chainalysis, Elliptic) is a plus.
A bachelor's degree in Finance, Law, Business Administration, or a related discipline.
Minimum 8 years of experience in compliance, AML/CFT, or regulatory affairs, with a focus on the financial services or related industries within the MEASA region.
Experience with regional regulators: VARA, CBUAE, SCA, FSRA, etc.
Strong analytical and problem-solving skills, with a proactive approach to identifying, addressing, and preventing compliance risks.
Ability to work under pressure and meet tight deadlines, with a willingness to work long hours when necessary.
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About the Role
You'll be embedded in Binance's Institutional BD team, working directly on growing and retaining our institutional client base across the globe. This isn't a coffee-and-slides internship — you'll be doing real work: research, client support, market analysis, and helping the team move faster. If you want to understand how the world's largest crypto exchange builds institutional relationships, this is the room.
What You'll Do
What You'll Get
Who We're Looking For
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Assist in the full lifecycle of Square campaign operations, including drafting campaign documentation, managing backend configurations, coordinating on-site promotions (banners, push notifications, and pop-ups), overseeing campaign launches, tracking ongoing progress and post-campaign management.
Collect & extract frequently-appeared cases from user inquiries, work with Product and Tech teams to debug issues, verify fixes, and reduce the number of potential user cases.
Handle escalated user tickets from the Mod & Customer Service team, maintain FAQs and other user documents to ensure consistent communication and improve user experience.
Monitor real-time campaign data and deliver post-campaign reports with actionable insights for future optimization.
Plan, coordinate, and launch integrated growth initiatives and campaigns in partnership with cross-functional teams to accelerate scalable user and content growth.
Recent graduate, with a strong interest in crypto, blockchain, and digital communities.
Past experience in Web3, content or creator economy is a plus advantage.
Strong bilingual communication skills in English and Mandarin, with the ability to effectively engage vendors and internal stakeholders across regions.
Execution excellence with attention to details and a high level of patience and accountability.
Good communication and collaboration skills with ability to think critically and solve problems independently.
Resourceful, proactive, and eager to learn in a fast-paced, entrepreneurial environment.
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We are seeking a highly skilled QA Automation Engineer with strong Java / Rust programming expertise to join our Margin team. In this role, you will be responsible for ensuring the quality, stability, and reliability of our margin trading products and risk systems, working closely with engineers, product managers, and operations teams throughout the full software development lifecycle. You will leverage Java / Rust to design, develop, and maintain scalable automated testing frameworks and tools for complex trading workflows, risk controls, and high-concurrency systems, helping deliver secure and high-performance products to millions of users globally.
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Assist in researching and analyzing emerging blockchain technologies, including consensus mechanisms, on-chain transaction models, and differences across various blockchain architectures (e.g., EVM vs non-EVM).
Contribute to analyzing real-world Web3 security incidents under guidance, and help brainstorm proof-of-concept solutions.
Monitor blockchain security news and report emerging risks, vulnerabilities, or novel attack vectors.
Participate in internal discussions, team reviews, and threat modeling activities.
Help document findings, write basic research summaries, and contribute to internal knowledge bases.
Strong interest in blockchain, smart contracts, cybersecurity, or DeFi — enthusiasm and curiosity are key.
Solid foundation in computer science or related technical background (students in CS, EE, math, etc. welcome).
Familiarity with at least one programming language (e.g., Python, JavaScript, Solidity, or Rust is a plus).
Basic understanding of blockchain concepts such as transactions, wallets, or smart contracts (coursework, personal projects, or self-study accepted).
Strong problem-solving skills and willingness to dive into technical details.
Fluency in English is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be an advantage
Bonus: personal Web3 projects, CTF participation, GitHub contributions, blog posts, or any self-initiated security research.
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Responsibilities
Participate in the development and maintenance of the company's basic products
Responsible for the compilation and implementation of the interface documentation of the business module
Demonstrate strong troubleshooting skills to solve problems provided by QA team
Assist the CS team to solve customer problems and classify them for system improvement
Requirements
Computer-related major, Bachelor or Masters degree
Have a solid Java foundation and understand basic frameworks, such as multithreading and networking
Familiar with Spring Microservice framework and understanding of its operation mechanism
Familiar with MySQL database and common middleware such as Redis, RabbitMQ and Kafka
Good logical thinking ability, strong sense of teamwork and strong learning ability
Fluency in English is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be an advantage
Experience with open source projects is preferred
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Responsible for managing the back-end operating systems.
Manage IAM tools and provide functional and business technology support including but not limited to chat faq handling, account management, permission authorization, access review and control, monitoring and alerting, data protection, risk identification and analysis.
Maintain strong working relationships with key stakeholders: business partners, product managers, developers as well as infrastructure and information security teams.
Continuously evaluate the effectiveness of the system functionality, suggesting improvements based on organizational needs.
Correlate events across multiple systems to proactively surface and resolve deep, underlying issues.
Provide all time standby support for emergency recoveries related to permission issues.
Drive access control related projects independently and deliver the positive result timely.
Work with product and develop teams on the UAT to ensure a successful release without major system or user impact
Able to deal with ad-hoc assignments from the management with less supervision.
Diploma/ Degree in IT/ Computing related field.
Direct experience with Identity and Access management. Strong understanding of Identity and Access Management principles.
Proficient in creating and managing access control policies based on business requirements
Understanding of security protocols and best practices. Familiarity with relevant technologies and tools for access control.
Strong analytical, organizational, and problem-solving skills are required.
Excellent oral and written CN/EN communication skills are preferred to better communicate with key stakeholders.
Must be highly flexible and adaptable to change.
CISA and PMP are considered as a plus.
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Management Reporting: Conduct month-end regional financial performance review, ensure accuracy of financial records, highlight /lowlight, escalate issues and opportunities to the leader team, prepare monthly/quarterly management reports for regional leadership
Add-hoc scenario analysis to support on decision making when entering new market through data anlysis
Responsible for pre-ROI and post ROI analysis for marketing activities, making proposal and improvement plan to marketing leaders when needed
Strategic business partnering: Build relationships and collaborate across regional leaders, country GMs, BU teams, BU FBPs to optimise business growth
Process Improvement: Streamline data handling, drive continuous process improvement, standardization, simplification and reporting enhancements
5-8 years of relevant financial business partnering or analysis related experience is necessary, including experience in a professional services environment (e.g. management consulting, investment banking, Big 4 accounting) and/or in an FP&A or strategic finance role at a large technology / e-commerce / crypto company
Analytical problem solver with extensive experience building complex financial and/or operating models
Ability to craft executive-level presentations and develop succinct narratives outlining the key points of a deliverable and next step action items
Demonstrated abilities to ask the right questions and to use sound business judgment when collaborating with a wide-range of stakeholders
Proven proclivity for quickly identifying and methodically resolving potential road-blocks
Excellent verbal and written communication skills, and a willingness to proactively work with functions across the company, including board members
Previous crypto industry experience will be an advantage
Finance, Economics, Business related degree are preferred major fields (CIMA qualified will be a plus)
Past marketing FBP experience will be a plus
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- Data Analysis: Perform attribution analysis, user segmentation, and funnel diagnostics based on behavioral logs; deliver actionable strategy recommendations
- A/B Testing: Assist in experiment design, write SQL queries for data extraction, conduct significance testing, and produce A/B test reports
- Strategy Documentation: Contribute to PRDs for frequency capping, ranking, and content strategy
- Ranking Optimization: Collaborate with algorithm teams on parameter tuning and effect validation
- Label/Tag Development: Organize and refine content/label taxonomies to bridge signals to recommendation systems
Must-Haves:
Proficient in SQL – able to independently extract and analyze data from data warehouses
Solid understanding of basic statistics (hypothesis testing, confidence intervals, A/B testing)
Familiar with Python (pandas) or similar data analysis tools
Knowledge of basic recommender system concepts (CTR/CVR, explore-exploit)
Structured thinking and clear writing skills
Nice-to-Haves:
Prior experience in recommendation systems, growth, or user operations projects
Hands-on experience with A/B testing
Basic understanding of Web3 / crypto concepts
Experience with machine learning projects
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Support the project manager in coordinating with cross-functional teams on requirements gathering, evaluation, analysis, and reporting across internal projects.
Develop a strong understanding of business operations to respond quickly to business needs and efficiently manage information collection, organization, and other tasks during cross-functional collaboration.
Conduct regular assessments of project outcomes using appropriate tools, systems, and evaluation techniques.
Build and enhance reporting metrics to support data-driven decision-making and performance tracking.
Create and maintain comprehensive project documentation.
Develop, write, edit, and optimize content for both technical and non-technical audiences, ensuring clarity, structure, accuracy, and consistency across materials.
Support content creation initiatives by conducting research, synthesizing information, and producing high-quality written materials for internal and external use.
Track platform content engagement metrics (impressions, views, likes, comments, shares/reposts) and iterate based on feedback and data.
Other duties as assigned.
Must be a full-time undergraduate or graduate student in good academic standing, preferably in Computer Science, Information Security, or a related field.
Introductory knowledge of security concepts, including Cybersecurity and Information Security.
Proven experience in content writing, editing, and information research, with the ability to produce clear and engaging materials.
Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.
Project or product management experience is highly desirable.
Excellent client-facing and communication skills, with strong logical thinking, organizational ability, attention to detail, and multitasking skills.
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Manage follow-up communications with all stakeholders to ensure proposed actions are effectively implemented.
Monitor detailed reports and systematic tracking systems to monitor progress for better transparency and productivity.
Evaluate product performance data by tracking key metrics. Collaborate with internal stakeholders to address any performance gaps and drive continuous improvement.
Assist in the process of developing automation processes that increases efficiency and ensure compliance with security, privacy, and regulatory standards.
Currently pursuing a bachelor or master degree in a local university.
A data-centric individual capable of analyzing large quantities of data and making informed decisions based on the insights derived.
Demonstrates an understanding of and interest in the cryptocurrency sector.
Strong proficiency in SQL preferred.
Possesses strong communication skills, enabling effective engagement with internal stakeholders.
Persistent with a keen attention to detail.
Adaptable, open-minded, and comfortable to work in a fast-paced remote working environment.
Embraces a hands-on approach to tasks and problem-solving.
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Work closely with other business intelligence and data teams to build datasets serving the purpose of treasury and risk management.
Responsible for the architecture design and core module development of LLM-based AI Agent systems, including task planning, memory management, tool invocation, and workflow execution;
Leverage key technologies such as LLMs, RAG, vector search, and function calling to build intelligent systems with contextual understanding and knowledge injection capabilities;
Drive the application of AI Agents in vertical scenarios such as search, trading, deep analysis, and automated data engineering to unlock the full value of LLMs.
Develop and maintain sophisticated risk management systems, dashboards and automated reports to help the team meet its management objectives and regulatory requirements.
Analyze and interpret large (PB-scale) volumes of transactional, operational, customer and financial 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.
Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments.
Be part of a fast-paced industry and organisation where time to market is critical.
Develop and maintain sophisticated risk management systems and dashboards to monitor limits, detect breaches, and support timely risk mitigation
Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
3-5 years of full-time work experience in an Analytics or Data Science role
A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication
Prior internal/client-facing consulting/business transformation experience preferred.
A passion for Emerging Technologies related to Blockchain, Machine Learning and AI
Competency in two or more of the following:
An analytical software (e.g. R, SAS)
A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
Programming (e.g. VBA, C++, Java, Python)
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- Responsible for daily operations and maintenance of Binance APP VIP community and Telegram community
- Prepare community operation content, including announcements and support for online/offline activities (such as AMAs, Binance Square Live streams, offline meetups, etc.)
- Complete community growth targets according to plan, execute new user acquisition, engagement, and retention initiatives
- Assist in building and operating multilingual VIP communities
- Collaborate with Marketing/Design teams to clarify responsibilities and workflows for copywriting and visual design
- Have independent content publishing permissions, manage content through CRM/analytics tools
- Test community operation strategies and optimize content performance
-Operation Frequency: At least 1 community operation event per month (e.g., AMAs, Live streams, offline meetups)
- Initial Phase: Manager leads event planning, intern assists with execution
- Transition Phase: Intern leads event planning, Manager provides oversight and quality control
- Budget Approval: Approved by Manager
- Track operation metrics, analyze and summarize operational methods, replicate successful experiences
- Assist in collecting and organizing VIP level 1–9 benefits-related materials and user requirements
- Assist in collecting competitive benchmarking data on benefits systems and provide optimization suggestions
- Assist in tracking benefits system implementation, information synchronization, and process advancement
- Assist in coordinating with relevant business departments (Sales, Product, MKT) to execute projects
- Track benefits launch progress and collect user satisfaction feedback
- Regularly collect, compile, and organize competitor community and benefits-related data
- Produce benchmarking analysis reports to inform and optimize operational strategies
- Complete other VIP system, community operations, benefits, and user experience-related tasks assigned by the manager
- Familiar with at least one AI tool (such as ChatGPT, Claude, Gemini, etc.) and able to apply it to scenarios including content creation, information organization, competitor analysis, event planning, and operations review.
- Possess basic prompt-writing skills and be able to improve AI output quality based on business needs.
- Able to fact-check, refine tone and style, and localize AI-generated content to ensure accuracy, compliance, and alignment with brand guidelines.
1. Community Operations Experience
Hands-on experience in community or content operations (internships or campus projects welcome). Able to independently plan and execute online/offline events (AMAs, live streams, meetups) with a strong execution mindset and results-driven approach.
2. Cross-Functional Collaboration & Project Management
Proven ability to coordinate across multiple teams (Product, Design, Sales, Marketing, Customer Service) to drive projects to completion on time. Strong at information sync, follow-through, and bridging execution gaps between departments.
3. Data Analysis & Competitive Research
Comfortable working with CRM and analytics tools to track community KPIs. Able to compile competitor benchmarking reports and translate data insights into actionable optimization suggestions.
4. Content Creation & Multilingual Communication
Strong written communication skills in both English and Chinese, with the ability to independently produce community announcements, event copy, and operational content. Experience with multilingual community management is a plus.
5. AI Tool Proficiency
Proficient in at least one AI tool (e.g., ChatGPT, Claude, Gemini) and able to apply it across content creation, information organization, competitor research, and event planning. Possesses basic prompt-writing skills and can fact-check, refine tone, and align AI-generated content with brand guidelines.
6. Availability & Commitment
Candidates must be available 5 full working days per week with a minimum contract duration of 6 months to ensure continuity and meaningful contribution to ongoing projects.
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This internship is part of Tech Seeds 2026 — our program to identify and develop AI-native young talent. As an Applied AI Agent Engineer young talent, you will take on a hands-on builder role at the intersection of LLMs and production systems, working alongside full-time engineers on agent workflows, tool integrations, backend services, and AI system architecture from day one.
This is not a shadowing role. You will own deliverables, run experiments, and ship code that matters.
Support the design and development of AI agent workflows and LLM-powered application components
Build and test prompt strategies, retrieval flows, tool-use logic, orchestration patterns, and backend integrations
Assist in defining evaluation metrics, running benchmarks, and analyzing failure cases
Improve system performance across quality, latency, reliability, safety, and cost
Use AI coding tools as a normal part of your workflow to accelerate development and problem-solving
Collaborate with engineers and cross-functional teams to understand how production AI systems are designed, deployed, and improved
Contribute to backend services, APIs, internal tools, or lightweight user interfaces when needed
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
Expected graduation in 2026 or 2027
Solid programming skills in Python or Java; familiarity with backend engineering is preferred
Good problem-solving ability and comfort working with APIs, debugging, and data
Strong curiosity about LLMs, AI agents, automation, and real-world system design
Ability to break down ambiguous problems and move from idea to working prototype
Comfortable learning quickly and working in a fast-moving environment
Available for a 6-month full-time commitment
Personal projects or coursework involving LLM applications, agent systems, automation, or AI-assisted development
Familiarity with OpenAI APIs, Anthropic APIs, Hugging Face, LangChain, vector databases, or workflow tools
Experience with Git, databases, backend services, or cloud platforms
You are curious, proactive, and builder-minded. You already experiment with AI tools on your own, learn quickly, and want to turn AI ideas into practical systems that work in the real world.
Ready to apply?
Apply to Binance
We are looking for an AI Agent Engineer to join our team as part of Tech Seeds 2026. This is an engineering-first role for someone who wants their work to have real-world impact — not just demos, but agent systems that ship. You will work alongside senior engineers to design and build AI agents, workflows, and internal AI systems that improve our products and operational efficiency. This role is especially suited for candidates who are curious, fast learners, and excited to build practical AI systems in production. Production agent design today is typically centered on clear tool integration, strong instructions, safe execution, and iterative rollout, rather than purely academic model work.
What You'll Do
Design and build AI agent workflows and LLM-powered systems for real business use cases
Develop and integrate tools for agents, including APIs, internal services, databases, knowledge sources, and operational systems
Improve agent quality, latency, reliability, safety, and cost through testing, evaluation, and iteration
Build prompt structures, orchestration logic, memory or retrieval patterns, and human handoff flows where needed
Collaborate with product, business, and operations teams to translate ambiguous business problems into practical AI solutions
Contribute to backend services, internal platforms, and lightweight interfaces to support end-to-end delivery
Help define reusable engineering patterns, guardrails, and evaluation approaches for production AI agents
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related field
0–3 years of software engineering, AI engineering, or relevant internship/project experience
Strong programming fundamentals in Java or Python, TypeScript, or backend development is a plus
Good software engineering judgment, including APIs, debugging, system design, and data handling
Strong curiosity about LLMs, AI agents, tool use, retrieval, evaluation, and production AI systems
Ability to learn new domains quickly and work effectively in ambiguous environments
Ability to read, understand, and improve AI-generated code, or learn to do so very quickly
Good communication skills and the ability to connect technical work to business value
Personal projects, hackathons, or internships involving LLM apps, AI agents, RAG, automation, or internal tools
Familiarity with OpenAI APIs, Anthropic APIs, vector databases, agent frameworks, or orchestration tools
Experience with backend systems, cloud environments, observability, or production support
Exposure to fintech, crypto, customer support systems, operations workflows, or risk/compliance processes
You are self-driven, AI-native, and practical. You learn fast, like solving real problems, and are excited to turn new ideas into working systems. You do not wait to be told every step: you explore, test, iterate, and improve.
Ready to apply?
Apply to Binance
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