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Текст:
Hirify AI/Оригинал
TL;DR
Enterprise Wide Risk Assessment (EWRA) Specialist (AI/Compliance): Developing and implementing global compliance risk management and Anti-Financial Crime EWRA programs with an accent on financial crime assessments, regulatory change analysis, and AI-assisted risk workflows. Focus on mapping controls, validating GenAI outputs, producing risk metrics, and reporting heightened risks and remediation progress to senior management.
Location: United Arab Emirates; remote-first, work-from-home arrangement may vary depending on the role and team.
Company
Binance operates a global blockchain ecosystem offering cryptocurrency trading, finance, payments, institutional services, education, and other digital-asset products.
What you will do
Support the development and implementation of the global Compliance Risk Management Program.
Conduct Anti-Financial Crime EWRA assessments and lead assessments for additional financial crime areas, including anti-bribery and corruption, sanctions, transaction monitoring, and market abuse.
Participate in product risk assessments for new, changing, and existing products with Business Unit Compliance and Product stakeholders.
Maintain control inventories, regulatory alignment, policies, procedures, and compliance risk assurance processes across regional, business, product, and central teams.
Embed AI and GenAI techniques into risk assessment workflows, including horizon scanning, data triangulation, control mapping, typology synthesis, and regulatory change analysis, with human validation and audit-ready traceability.
Produce management information, metrics, and RAS KRIs for senior management, including recommendations for risks outside the defined appetite.
Requirements
Degree in business management, finance, or economics.
5+ years of compliance experience in a regulated financial services environment.
2+ years of direct experience in Compliance Risk and EWRA implementation.
Practical AI and GenAI literacy, including prompt engineering, tool selection, output validation, and understanding of model limitations and hallucination risk.
Knowledge of AI governance and Responsible AI principles, including bias, explainability, auditability, and model risk.
Strong data literacy, problem-solving, communication, independence, and collaboration skills in a global organization.
Nice to have
Advanced professional risk certification, such as CAMS-RM.
Cryptocurrency industry experience.
Culture & Benefits
Remote-first, work-from-home arrangement, subject to role and team requirements.
Collaboration with global teams in a flat, user-centric organization.
Fast-paced and innovative environment with autonomy and challenging projects.
Career growth and continuous learning opportunities.
Competitive salary and company benefits.
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