Associate Risk Analyst

Responsibilities

• Support for day-to-day model validation and governance activities, including:
• Support management of model inventory and assisting in the maintenance of model policy and standards.
• Identifying opportunities to improve risk metrics and reporting capabilities.
• Assisting in the validation of models by reviewing assumptions, testing outputs, and documenting findings in collaboration with validators and model developers.
• Identify opportunities to enhance, automate, and streamline model validation practices
• Conduct research on emerging model risk management practices, AI/GenAI governance, and regulatory developments.
• Assist in developing monitoring and reporting capabilities for traditional, AI, and Generative AI models.
• Contribute to special projects focused on governance enhancements, operational excellence, and continuous improvement.
• Provide support for ad hoc requests related to new business initiatives and cross-functional collaborations

Qualifications

• Bachelor’s degree in mathematics, statistics, data science, actuarial science, or a related discipline.
• 2+ years of professional experience; prior experience in the insurance industry is preferred.
• Strong analytical and critical thinking skills with the ability to test hypotheses and solve complex business problems.
• Proven ability to manage and prioritize multiple responsibilities and deadlines in a dynamic environment.
• Familiarity with programming languages such as Python, R, VBA, or similar.
• Effective communicator with the ability to convey technical concepts to both technical and non-technical audiences.
• Collaborative team player with a demonstrated ability to build strong working relationships and contribute independently.
• Results-driven, detail-oriented, and accountable, with a flexible and adaptable mindset.
• Committed to continuous improvement and proactive problem-solving.