AI Risk Management

Company Description At GORBANI, we focus on deeply understanding the needs of our customers and users to deliver reliable and effective software solutions. Our diverse team brings international experience across the full software lifecycle, from early concept exploration to deployment and long-term maintenance. We support organizations in scaling and expanding their systems, ensuring performance, resilience, and security as they grow. Joining GORBANI means working in a collaborative environment that values adaptability, technical excellence, and customer-centric thinking.
Role Description This is a remote contract role focused on AI Risk Management. The individual in this role will identify, assess, and monitor risks related to AI systems and data-driven products, with particular attention to model performance, compliance, and ethical use. Day-to-day activities include performing risk analyses, developing and maintaining AI risk registers, and supporting enterprise risk frameworks that encompass AI technologies. The role involves collaborating with engineering, product, legal, and finance stakeholders to define controls, recommend mitigation strategies, and contribute to AI governance policies and procedures. The person in this position will also prepare clear documentation and reports for internal and external stakeholders, including non-technical audiences.
Qualifications

• Strong Analytical Skills and Risk Analysis capabilities to assess AI models, data pipelines, and system-level risks.
• Experience in Enterprise Risk Management frameworks, including the design and implementation of controls and governance processes for AI and technology systems.
• Excellent Communication skills to convey complex risk concepts clearly to technical and non-technical stakeholders and support cross-functional decision-making.
• Understanding of Finance and business impact analysis to connect AI risks with financial exposure, regulatory obligations, and strategic priorities.
• Familiarity with AI, machine learning, or data science concepts and their operational deployment in software products.
• Knowledge of relevant risk, compliance, or security standards (e.g., ISO 31000, NIST frameworks, AI risk or model governance best practices) is beneficial.
• Experience working remotely with distributed teams and managing multiple concurrent risk assessments or projects.
• Bachelor’s degree in a relevant field such as Risk Management, Finance, Computer Science, Data Science, or a related discipline; advanced degrees or professional certifications (e.g., FRM, CRM, CISSP, or AI-related certifications) are a plus.