AI Risk Analyst

Dijav AI Group; Dover (DE); On-site; USD 90,000 - 130,000; Full time

Job summary

DijavAI in Dover, Delaware is seeking a detail-oriented AI Risk Analyst to join our governance team. You will evaluate AI models against global compliance frameworks, identify potential biases, and recommend mitigation strategies to strengthen responsible AI practices.

You will collaborate with engineering to implement risk controls, prepare audit reports for regulators, and communicate complex findings clearly in writing.

Qualifications

• Experience conducting AI model risk assessments.
• Familiarity with NIST AI RMF and EU AI Act.
• Strong written and verbal communication skills.
• Ability to interpret complex model outputs for non-technical stakeholders.

Responsibilities

• Conduct comprehensive risk assessments of client AI models.
• Analyze datasets for bias, fairness, and representativeness.
• Evaluate model performance and stability under stress conditions.
• Collaborate with engineering teams to implement risk mitigation controls.
• Prepare detailed audit reports for regulatory compliance.

Skills

Data analysis

Risk management

Technical writing

Communication skills

Bias detection

Education

Bachelor's or Master's degree in Data Science/Statistics or related field

Job description

We are seeking a detail-oriented AI Risk Analyst to join our governance team. You will be responsible for evaluating AI models against global compliance frameworks, identifying potential biases, and recommending mitigation strategies.

What You'll Do

• Conduct comprehensive risk assessments of client AI models.
• Analyze datasets for bias, fairness, and representativeness.
• Evaluate model performance and stability under stress conditions.
• Collaborate with engineering teams to implement risk mitigation controls.
• Prepare detailed audit reports for regulatory compliance.

What We're Looking For

• Bachelor's or Master's degree in Data Science, Statistics, or related field.
• 3+ years of experience in data analysis or risk management.
• Familiarity with NIST AI RMF and EU AI Act.
• Strong understanding of machine learning model lifecycles.
• Excellent technical writing and communication skills.