企业全面风险评估(EWRA)专员
Enterprise Wide Risk Assessment (EWRA) Specialist
其他未标注地域
公司Binance
薪资未公开
工作地点United Arab Emirates
地域资格未标注地域
时区要求日间重叠约 5 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
职责:
- 协助开展全球合规风险管理计划的开发和实施,旨在稳健地识别、评估、管理和监控合规风险。
- 至少每年协助进行反金融犯罪(AFC) EWRA 工作,适当应用 AI/GenAI 工具以加速前景扫描、类型研究、监管变化分析和初稿叙述编写,同时保持方法严谨性、可辩护性和清晰的审计轨迹。
- 领导尚未纳入 AFC EWRA 计划的其他金融犯罪领域的风险评估,例如反贿赂与腐败、制裁、交易监控、市场滥用等。
- 与业务单元合规团队联络,参与新产品、变更产品或现有产品的风险评估,即产品风险评估。
- 与产品、本地实体合规和中央合规团队、业务部门及更广泛的团队协作,记录并维护控制清单,确保符合监管要求,并与外部和内部政策框架保持一致。
- 与全球不同层级的利益相关者协作,确保风险评估方法和执行符合预期和需求。
- 支持区域、业务和产品团队制定和管理用于风险缓解和持续合规风险保证的政策、程序和流程——即构建合规风险管理环境。
- 协助开展已建立的合规风险管理框架的所有支柱(例如监管风险管理),包括但不限于前景扫描(包括反洗钱和反恐融资)、监管范围和对即将出台的监管变化的影响评估。
- 在明确的人机协同审查模型下,将人工智能技术嵌入 EWRA 工作流中——包括数据三角验证、控制映射和类型合成,确保输出结果经过验证、来源可追溯,并能经得起内部审计和监管机构的审查。
- 协助开发及时、有效且高效的合规风险洞察和绩效管理信息。
- 编制管理信息/指标,持续向高级管理层提供,概述风险加剧的领域以及 AFC EWRA 工作中的建议状态。
- 持续监控和报告 RAS 关键风险指标,当风险出现时提出明确建议。
查看英文原文
Responsibilities:
- Assist efforts in the development and implementation of the global Compliance Risk Management Program, intended to identify, assess, manage and monitor Compliance Risk robustly.
- Assist with the process of Anti-Financial Crime (AFC) EWRA on at least an annual basis, applying AI/GenAI tooling — where appropriate — to accelerate horizon scanning, typology research, regulatory change analysis, and first-draft narrative production, while preserving methodological rigour, defensibility, and a clear audit trail.
- Lead Risk Assessment of additional Financial Crime segments that are not yet integrated into the AFC EWRA Program as required: Anti-Bribery and Corruption, Sanctions, Transaction Monitoring, Market Abuse, etc.
- Liaise with the Business Unit Compliance team to participate in the risk assessment of new, changing, or existing products, i.e. Product Risk Assessments.
- Work with stakeholders such as Product, Local Entity Compliance and Central Compliance teams, the business, and the wider team to document and maintain control inventories, adherence to regulatory requirements, and alignment with external and internal policy frameworks.
- Collaborate with stakeholders across varying levels globally to ensure risk assessment methodology and execution meets expectations and needs.
- Support the regional, business and product teams in developing and managing policies, procedures, and processes used for risk mitigation and ongoing compliance risk assurance — i.e. building out the Compliance Risk control environment.
- Assist with all pillars of the developed Compliance Risk Management framework (e.g. Regulatory Risk Management), including but not limited to horizon scanning (including AML and CFT), regulatory perimeter, and impact assessments on upcoming regulatory changes.
- Embed AI-enabled techniques into EWRA workstreams — including data triangulation, control mapping, and typology synthesis — under a clear human-in-the-loop review model, ensuring outputs are validated, source-traceable, and defensible to internal audit and regulators.
- Assist with the development of timely, effective, and efficient management information on Compliance Risk insights and performance.
- Produce MI/metrics, to be provided to senior management on a continuous basis, outlining areas of heightened risk and status of recommendations from the AFC EWRA exercise.
- Monitor and report RAS KRIs on an ongoing basis, with clear recommendations where risk levels are outside the set appetite.
Requirements:
- Degree in business management, finance, or economics.
- Advanced professional risk certificate is preferred (e.g. CAMS-RM).
- 5+ years as a compliance professional in a regulated financial services environment; Crypto industry experience is preferred.
- 2+ years of direct experience in Compliance Risk and EWRA implementation.
- Practical AI and GenAI literacy — including prompt engineering, tool selection, output validation, and a clear-eyed understanding of model limitations and hallucination risk in a compliance context.
- Familiarity with AI governance and Responsible AI principles — bias, explainability, auditability, and model risk — and how these apply to their use in compliance and risk assessment workflows.
- Data literacy sufficient to interrogate, stress-test, and evidence AI-generated outputs before they are relied upon in a risk assessment.
- Ability to work independently in a fast-paced, global organisation while maintaining close contact with relevant teams across multiple locations.
- Excellent problem-solving and communication skills, with the ability to articulate complex concepts in a format digestible by a diverse audience.
- Proactive, diligent team player.
Originally posted on Himalayas
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