Risk Analyst
Required Skills
Risk Assessment and Modeling
Regulatory and Compliance Knowledge
Scenario Analysis and Forecasting
Data Validation and Anomaly Detection
Job Description
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.