Risk Analyst

Job Title: Risk Analyst

Job Type: Full-time; Part-time

Location: Remote, Contract

Job Summary:

Join our customer's team as a Risk Analyst and play a pivotal role in shaping the future of AI-driven risk management. You will leverage your expertise in risk modeling, compliance, and scenario analysis to inform and enhance AI systems tasked with identifying and mitigating risks. This is a unique opportunity to contribute domain-specific knowledge, helping AI align with industry best practices while working in a fully remote environment.

Key Responsibilities:

• Conduct comprehensive risk assessments and quantitative modeling to inform AI system development.
• Annotate and structure a variety of risk scenarios to train and validate AI models.
• Evaluate the accuracy and performance of AI systems in detecting threats and compliance gaps.
• Collaborate with data engineers and AI trainers to ensure robust data validation and anomaly detection processes.
• Monitor emerging regulatory changes and integrate compliance requirements into risk identification frameworks.
• Develop detailed reports and documentation outlining findings and recommendations for AI risk models.
• Facilitate knowledge sharing to ensure AI systems reflect current industry standards and best practices.

Required Skills and Qualifications:

• Proven experience in risk assessment, risk modeling, or a related analytical field.
• Strong knowledge of regulatory requirements and compliance frameworks relevant to risk management.
• Expertise in scenario analysis and forecasting, with ability to anticipate emerging risks.
• Demonstrated proficiency in data validation and anomaly detection methodologies.
• Exceptional written and verbal communication skills, with a keen attention to detail.
• Ability to synthesize complex risk concepts into actionable insights for AI training and evaluation.
• Critical thinker with a passion for advancing technology-driven risk solutions.

Preferred Qualifications:

• Experience contributing to AI or machine learning projects within risk management.
• Familiarity with risk-related data annotation, labeling, or quality assurance practices.
• Advanced degree in risk management, statistics, finance, or a similar discipline.