Overview

Responsibilities:
  • develop and implement the AI Governance Framework, as well as AI policies, standards, and procedures maintain the AI systems register
  • identify, assess, and reassess risks throughout the AI systems lifecycle
  • support the AI/ML model validation process and monitor model risks
  • ensure compliance with internal, external, and international regulatory requirements applicable to AI systems
  • assess data quality, as well as bias and fairness risks
  • assess the ethical impact of AI systems and oversee the implementation of explainability, transparency, and accountability principles
  • participate in the management of AI operational risks, analyze AI incidents, and develop action plans
  • define AI Key Risk Indicators (KRIs), prepare risk reports for management, and monitor the performance of AI systems
  • participate in the preliminary assessment of AI projects and implement AI risk awareness initiatives
Required Qualifications:
  • higher education in mathematics, data science, information technology, or a related field
  • at least two years of work experience in model risk management, data science, or information technology
  • professional qualification or certification in AI Governance, Responsible AI (RAI), NIST AI RMF, or another relevant field
  • experience in assessing and monitoring artificial intelligence (AI/ML) models
  • professional knowledge of risk assessment, model validation, and monitoring
  • knowledge of banking regulatory requirements, data protection, and AI Governance principles
  • analytical thinking and problem-solving skills
  • ability to prioritize tasks and work effectively in a fast-paced environment
  • high level of initiative and sense of responsibility
  • teamwork skills
  • excellent command of English and Russian
Note:

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