Senior Risk Analyst (AI, Security, ML)

My client, a leading Insurance company are looking for a Senior Risk Analyst to conduct enhanced risk assessments on new AI solutions being implemented. The ideal candidate will have a strong background in machine learning, large language models (LLMs), and deep learning. This position will require the ability to assess risks effectively and propose appropriate compensatory controls. This role is inside IR35 and will require the successful candidate to be in their London office 3 days a week. It is a 9 month contract that will pay up to $480 a day via an Umbrella.

Skills / Experience (required): Strong IT background and deep understanding of Artificial Intelligence (LLM and Deep learning model development and deployment), IT and potentially Information Security. Demonstrable experience with LLMs, deep understanding of AI/ML frameworks (PyTorch, TensorFlow, etc.) Knowledge of Risk management. Expertise in Python, knowledge of SQL a plus. Effective communication, interpersonal skills, and ability to work with partners across the business Expert in synthesizing and clearly communicating complex information to all audiences up to C-Level leaders. Experience in articulating risks in business language and advising on the appropriate risk management action. Excellent attention to detail and the ability to create clear, concise and engaging presentations breaking down difficult problems. Expert analytical and reporting skills. Knowledge of Risk management frameworks is a plus (ISO 3100X, NIST 800-30/37/39, ENISA, EBIOS, OCTAVE, FAIR).

Responsibilities (will include but not be limited to): Improve the current Security risk assessment methodology for complex AI systems. Translating technical jargon and complex IT risks into business language is a must. Support the business and IT stakeholders in completing risk assessments for their AI use case. Conduct in-depth technical assessments of AI solutions to identify security risks. Develop threat models for AI systems to anticipate and account for potential impacts due to misuse, abuse, or other adversarial attacks. Document all findings and develop mitigation strategies for identified risks, and coordinate with the project team or business partners to deploy countermeasures to reduce risk to systems and applications. Communicate progress on enhanced risk assessments performed to the AI Triage Group and AI Governance Working Group. Co-ordinate with the Data Privacy and Artificial Intelligence team, Innovation and Data Analytics team, Operational Risk team, Project teams and Business Functions to ensure all relevant input is provided when assessing risks. Prioritise enhanced risk assessment based on business value, project timelines and risk exposure. Ensure leadership is aware of key risks, potential threats, and if there are anticipated changes to ongoing projects. Produce reports and presentations that outline findings, explain risk positions, and recommend changes. Leverage research, industry trends, and internal data points to understand how AI systems could be abused and misused.

Please apply or send you CV for immediate review to cmiller@strategicstaff.com.