Enterprise Wide Risk Assessment (EWRA) Specialist (AI)

Location: Remote, Middle East & North Africa

Company

Binance operates a global cryptocurrency and financial services platform.

What you will do

• Support the development and implementation of the global Compliance Risk Management Program.
• Conduct annual Anti-Financial Crime Enterprise Wide Risk Assessments and assess additional areas such as anti-bribery and corruption, sanctions, transaction monitoring, and market abuse.
• Perform product risk assessments and collaborate with Product, Business Unit Compliance, Local Entity Compliance, Central Compliance, and business stakeholders.
• Maintain control inventories, assess regulatory changes, and support policies, procedures, and compliance risk controls.
• Embed AI and GenAI techniques into horizon scanning, typology research, data triangulation, control mapping, and risk assessment workflows with human review and source traceability.
• Produce management information, metrics, and recommendations while monitoring risk appetite statement key risk indicators.

Requirements

• Degree in business management, finance, economics, or a related field.
• At least 5 years of compliance experience in a regulated financial services environment.
• At least 2 years of direct experience in Compliance Risk and EWRA implementation.
• Practical AI and GenAI literacy, including prompt engineering, tool selection, output validation, and awareness of hallucination risks.
• Familiarity with Responsible AI and AI governance principles, including bias, explainability, auditability, and model risk.
• Strong data literacy, problem-solving, communication, and stakeholder collaboration skills in a global organization.

Nice to have

• Advanced professional risk certification, such as CAMS-RM.
• Experience in the crypto industry.

Culture & Benefits

• Remote work within the Middle East and North Africa region.
• Collaboration with stakeholders across multiple global locations.
• Opportunity to apply AI-enabled methods to compliance risk assessment under a human-in-the-loop review model.