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Понятная роль для начинающего специалиста объединяет задачи по киберрискам с практическим управлением рисками ИИ в растущей финтех-компании и дает опыт в активно развивающемся направлении.
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Текст:
Hirify AI/Оригинал
TL;DR
Cyber & AI Risk Analyst (Cybersecurity/AI Governance): Supporting cybersecurity and AI risk management across cloud infrastructure, APIs, trading systems, internal platforms, and AI-enabled products with an accent on risk assessments, governance controls, regulatory alignment, and audit readiness. Focus on evaluating model and data risks, developing repeatable AI tool review processes, testing controls, and translating technical risks for cross-functional stakeholders.
Location: Remote - EMEA
Company
hirify.global provides agent-first brokerage infrastructure and licensed financial services APIs for stocks, ETFs, options, crypto, fixed income, and 24/5 trading, serving financial institutions across 40 countries.
What you will do
Support hirify.global’s cybersecurity risk management program and conduct assessments across cloud infrastructure, APIs, trading systems, and internal platforms.
Identify, document, and evaluate AI risks including model risk, data privacy, bias, explainability, adversarial threats, hallucinations, prompt injection, and model misuse.
Develop and maintain AI governance controls aligned with evolving requirements such as the EU AI Act.
Perform third-party security and AI risk assessments, contribute to control testing, and support internal and external audits with documentation and evidence.
Track remediation activities, maintain risk registers and reporting dashboards, monitor regulatory developments, and mature cyber and AI policies and procedures.
Build repeatable AI tool and model evaluation processes, support safe-use guidance for AI developer tools, and maintain AI logging and monitoring standards.
Requirements
At least 1 year of experience in cybersecurity, risk management, IT audit, GRC, or a related field; internships, coursework, or equivalent experience are welcome.
Foundational understanding of network security, cloud security, IAM, application security, and vulnerability management.
Familiarity with NIST CSF, ISO 27001, SOC 2, or similar frameworks.
Understanding of AI/ML concepts and associated risks, including data governance, model bias, hallucinations, prompt injection, and model misuse.
Strong written communication and documentation skills, with the ability to explain technical risks to non-technical stakeholders.
Experience collaborating cross-functionally with engineering and product teams.
Strong organization and attention to detail, with comfort working in a fast-paced environment.
Genuine curiosity about AI, active experimentation with AI tools, and willingness to use AI tools daily and learn newer agentic and assistant-based tooling.
Nice to have
Academic, personal, or professional experience in fintech, financial services, or trading platforms.
Exposure to AI governance, model risk management, responsible AI programs, NIST AI RMF, EU AI Act concepts, or model governance practices.
Experience with GCP or other major cloud platforms.
Experience supporting or observing SOC 2, ISO 27001, or regulatory audits.
Security or early-stage GRC certifications, or interest in pursuing CISA, CRISC, CISSP, or AI governance certifications.
Experience working remotely or in distributed teams and hands-on experience with AI or agentic tooling.
Personal AI/ML projects or self-study demonstrating initiative and interest.
Culture & Benefits
Work remotely across EMEA as part of a globally distributed team.
Equal opportunity workplace committed to a diverse workforce.
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