Model Validation Senior Manager

Regulatory & Financial Risk - Senior Manager – Model Validation Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organizations. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation. Work you’ll do You will lead model validation work for AI, Generative AI (GenAI), and Agentic AI solutions across client engagements. You will set the technical direction for validation approaches, manage and mentor teams, and provide senior-level oversight of deliverable quality. You will work across industries such as Financial Services, Life Sciences, and Technology, Media, and Telecom, helping clients strengthen model risk management practices and deploy AI responsibly. Responsibilities include Lead end-to-end validation of AI, GenAI, and Agentic AI solutions, from initial review of objectives and data through production readiness and ongoing monitoring. Design and execute fit-for-purpose validation plans (testing strategy, acceptance criteria, documentation requirements, and traceability) aligned to broader risk management processes for AI. Perform effective independent challenge of model design choices, data suitability, assumptions, limitations, and intended use. Validate model performance and stability using appropriate methods (for example: benchmarking, back-testing where applicable, sensitivity and stress testing, error analysis, and scenario-based evaluation). Develop models (example: credit risk models) and conceptualize modernization of associated processes. Validate GenAI and Agentic AI behaviors and controls (for example: evaluation of response quality, hallucination and grounding checks for RAG, prompt and tool-use testing, guardrails, escalation paths, and audit logging). Assess trustworthiness topics and recommend mitigations (for example: bias and fairness considerations, explainability, robustness, privacy and security considerations, and operational controls). Develop and embed automated processes for model validation, monitoring, and reporting (for example: standardized test harnesses, evaluation pipelines, and model documentation templates). Serve as a key contributor to project planning and direction—prioritizing client goals, managing technical risks, and ensuring teams execute to plan. Translate technical findings into clear, decision-ready messages for client stakeholders, and influence decisions with evidence-based recommendations. Supervise, mentor, and develop team members through coaching, technical review, and hands-on support. Connect and collaborate with specialists across Deloitte to strengthen validation approaches and stay current on emerging AI methodologies. The successful candidate would possess these skills • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and quality of work product • Ability to build and sustain professional relationships • Ability to lead projects or workstreams • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment • Strong interpersonal skills and professional demeanor • Ability to meet deadlines • Ability to mentor and provide clear guidance to others The Team Our Regulatory & Financial Risk offering supports clients' regulatory and compliance needs, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and a focus on business-as-usual sustainability across processes, controls, and data & analytic infrastructures.

Required: Undergraduate degree in Computer Science, Data Science, Artificial