Binance.US

Compliance

• Conduct supervised investigations involving transaction-monitoring alerts, KYC and EDD information, sanctions-related indicators, unusual customer activity, internal referrals, fraud concerns, and other potential financial-crime risks.
• Gather, review, and assess customer, account, transaction, blockchain, and other relevant information in accordance with established investigative procedures.
• Research applicable Binance.US policies, regulatory requirements, financial-crime typologies, and risk indicators to support investigative findings.
• Organize complex fact patterns into clear case chronologies, investigative summaries, and well-supported written narratives.
• Identify relevant facts, inconsistencies, information gaps, and potential risk indicators, and determine when additional information or enhanced due diligence may be appropriate.
• Recommend case escalation, closure, account restrictions, additional due diligence, or other actions in accordance with documented procedures and established decision authorities.
• Support the development of case materials that may inform Suspicious Activity Report evaluations, while final SAR decisions and filings remain with authorized Compliance personnel.
• Promptly escalate urgent, sensitive, or higher-risk matters to experienced investigators and Compliance leadership.
• Identify recurring patterns, emerging typologies, and opportunities to strengthen investigative procedures, monitoring processes, and internal controls.
• Maintain complete, accurate, objective, and timely case records in applicable case-management systems.
• Participate in formal training, case-review sessions, quality-assurance exercises, and ongoing professional-development activities.
• Handle confidential customer, business, and investigative information with discretion and in accordance with applicable privacy, security, and records-management requirements.

Compliance Investigations Associate

Graphics Designer

• Design high-quality static graphics, illustrations, and visual content for lifecycle, social, website, performance marketing, product marketing and campaigns, offline events, and more.
• Produce motion graphics, short-form animations, and lightweight video assets that help explain Binance.US products, crypto concepts, platform features, and customer education topics.
• Translate briefs, content outlines, and campaign concepts into polished visual deliverables that are clear, accurate, accessible, and aligned with Binance.US brand standards.
• Collaborate with content, social, product marketing, growth, and legal/compliance partners to incorporate feedback, manage revisions, and deliver creative assets on time in a fast-moving environment.
• Maintain organized working files, templates, design components, exports, and asset libraries to support efficient handoff, version control, and reuse across channels.
• Apply strong design fundamentals across typography, layout, composition, hierarchy, color, motion timing, and visual storytelling while following established brand guidelines.
• Support production needs across multiple formats and specifications, including resizing, adapting, and optimizing creative assets for platform, channel, and campaign requirements.

Multimedia Designer – 3-Month Contract

Product Manager

• Own and manage the roadmap for products and integrations that power our fiat, payments, and funding flows
• Gather and prioritize feedback from stakeholders including Customers, Customer Support, Risk, Compliance, and Finance
• Collaborate with engineering, design, and data teams to deliver solutions that are robust, secure, and compliant
• Define clear product requirements and user stories based on stakeholder needs and technical feasibility
• Develop KPIs and track success metrics to ensure tools meet performance expectations and reduce operational friction
• Ensure product solutions comply with applicable U.S. regulatory requirements and internal security standards
• Communicate roadmap and progress to leadership and cross-functional stakeholders
• Monitor emerging payments needs and proactively identify areas for prioritization

Product Manager, Payments

Full-stack Engineer

• Contribute to the development of backend, frontend, or full-stack applications using technologies such as Java, Spring Boot, TypeScript, React, and AWS, while supporting integration across distributed systems.
• Write clean, testable, and efficient code following team standards and guidance from mentors.
• Participate in code reviews, sprint planning, and daily standups to learn agile engineering practices.
• Collaborate with cross-functional teams, including DevOps, QA, and Product, to ensure smooth deployment and operation of services.
• Research and propose ways to improve system reliability and developer productivity during the replatform effort.

Software Engineering Intern

Security Analyst

• Monitor logs, alerts, and telemetry to detect abnormal behavior and potential threats across infrastructure, applications, and cloud environments.
• Perform in-depth security analysis and investigations to assess risk, determine impact, and identify root causes of security events.
• Coordinate and execute incident response efforts, including containment, mitigation, recovery, and post-incident reviews.
• Own and drive the vulnerability management program by identifying, prioritizing, and tracking remediation of security vulnerabilities across systems and teams.
• Maintain accurate and comprehensive documentation of investigations, incidents, procedures, and findings to support transparency and operational excellence.
• Contribute to company-wide security awareness by developing and delivering training, guidance, and best practices to stakeholders across the organization.

Security Analyst – 6-month contract

Data Scientist

• Serve as the embedded data science partner to Marketing, bringing rigorous, data-driven decision-making to a team that today lacks dedicated analytical support.
• Stand up and own the marketing measurement foundation — event tracking architecture, unified attribution windows, and KPI frameworks across mobile (MMP) and web (GA) — so channels can be compared apples-to-apples.
• Build and maintain the core models that drive spend decisions: LTV, ROAS, CAC/payback, and retention; translate them into channel strategy and budget allocation recommendations.
• Design, run, and read out experiments and A/B tests across acquisition and the customer lifecycle, and set the experimentation standard for the marketing org.
• Analyze the full funnel (acquisition → activation → engagement → retention → monetization), surface the highest-impact growth opportunities, and size them.
• Build forecasting and opportunity-sizing models to inform planning and resource allocation.
• Develop self-serve dashboards and recurring reporting that give Marketing and leadership clear visibility into performance.
• Partner with Data Engineering and MMP/ad-platform teams to ensure data quality and measurement accuracy, and prioritize fixes.
• Translate analysis into clear, persuasive recommendations, and influence marketing investment decisions with stakeholders up to leadership.

Senior Growth Data Scientist

• Own and drive end-to-end product analytics for key consumer-facing products and initiatives.
• Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify opportunities for growth, monetization, and improved user experience.
• Design, execute, and analyze A/B and multivariate experiments to evaluate product, UX, pricing, and growth initiatives.
• Partner with Product Managers to define clear hypotheses, success metrics, and guardrails for experiments and product launches.
• Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders.
• Develop and maintain key product KPIs, dashboards, and monitoring metrics to track product performance and experiment results.
• Ensure accurate event tracking and data instrumentation for new and existing product features.
• Leverage AI-assisted tools and ML techniques (e.g., segmentation, propensity scoring) to take on more advanced analysis to support product decisions.
• Support ad-hoc data requests from cross-functional teams across the company.
• Support strategic deep dives that influence roadmap prioritization and business strategy.

Senior Data Scientist, Product Analytics

• Own and drive end-to-end ML projects that directly impact product growth, engagement, and monetization, from problem framing to deployment and measurement
• Build and maintain ML models such as user segmentation, churn prediction, and recommendation systems to surface actionable opportunities for the product
• Partner with Product Managers to translate business questions into well-defined analytical or modeling problems with clear success metrics
• Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify growth opportunities and inform product strategy
• Design, execute, and analyze A/B and multivariate experiments with a strong focus on revenue, retention, and engagement impact
• Develop and maintain key product KPIs, dashboards, and monitoring metrics to track model performance and product outcomes
• Ensure accurate event tracking and data instrumentation for new and existing product features
• Translate complex analytical and modeling findings into clear, actionable recommendations for both technical and non-technical stakeholders
• Act as a thought partner and data leader within product teams, fostering a strong data-driven and experimentation culture

Senior Product Data Scientist

Risk

• Design, develop, deploy, and continuously improve predictive risk models, scoring methodologies, and decision frameworks across ACH deposits, wire transfers, debit card funding, withdrawals, account security, fraud, and cryptocurrency-related risk domains.
• Build customer-level, transaction-level, and portfolio-level models that predict fraud losses, payment returns, chargebacks, account compromise, and emerging risk events.
• Develop risk segmentation frameworks that dynamically assess customer behavior throughout the customer lifecycle, including onboarding, funding, trading activity, and withdrawals.
• Apply advanced statistical methods, machine learning techniques, anomaly detection, and large-scale data analysis to identify evolving fraud patterns, abuse vectors, and operational vulnerabilities.
• Quantify and monitor risk across payment rails, including ACH, wire, card, and other funding methods.
• Develop forecasting methodologies for payment losses, ACH return rates, chargebacks, fraud exposure, and emerging risk trends.
• Establish key risk indicators (KRIs), operational thresholds, portfolio health metrics, and executive reporting frameworks.
• Evaluate the impact of new products, payment methods, customer segments, and growth initiatives through rigorous quantitative risk assessment.
• Partner with Product and Engineering teams to embed model-driven decisioning throughout the customer journey.
• Conduct deep-dive investigations into material fraud events, payment losses, suspicious activity, and operational incidents, identifying root causes and recommending corrective actions.

Senior Quantitative Risk Strategist

IT Support

• Troubleshoot operating systems and software applications across the organization.
• Respond to and resolve trouble tickets in a timely manner.
• Apply patches, updates, and security configurations to systems.
• Manage user accounts and permissions, primarily through Okta.
• Configure and manage mobile devices using an MDM platform.
• Administer and maintain Okta for user lifecycle management, authentication, and authorization.
• Configure and customize Slack for team communication and integrate it with other tools.
• Manage resources and services within enterprise productivity suites such as Google.
• Jira Service Management for ticketing.

IT Support Intern

Support Engineer

• Provide responsive 3rd shift IT support for employees, troubleshooting hardware, software, network, access, and application issues in a remote and/or distributed work environment.
• Support and troubleshoot macOS devices and related Apple ecosystem tools, including device setup, configuration, updates, account access, and user productivity issues.
• Administer and support core business systems including Google Workspace and Okta, including account access, authentication issues, MFA troubleshooting, and user lifecycle support.
• Support MDM and asset management processes, including device enrollment, inventory tracking, equipment assignment, returns, and lifecycle documentation.
• Use ticketing systems and internal documentation tools to triage, track, resolve, and document support requests with accuracy, urgency, and a customer-service mindset.
• Create and maintain knowledge base articles, SOPs, troubleshooting guides, and runbooks to improve support consistency and reduce recurring issues.
• Leverage AI tools responsibly to assist with troubleshooting, workflow automation, documentation, reporting, and process improvement while following company security and data handling expectations.
• Partner with IT and Security stakeholders to support endpoint hygiene, access control practices, incident escalation, and secure handling of employee technology issues.
• Identify recurring support trends and recommend improvements to systems, processes, automations, or documentation that improve employee experience and operational efficiency.
• Support additional IT projects as needed, including onboarding/offboarding support, SaaS tool administration, device lifecycle activities, and team growth initiatives.