Senior Consultant - AI Assisted Process, Risks & Controls Transformation - Investment Management

Deloitte

Location

Chicago, Illinois, United States

Vacancies: 1

Posted: 24-09-2026

Experience: 3 to 5

Skills: inancial services or consulting with exposure to investment management operations, compliance, risk, internal audit, and/or technology/data functions

Description:

Senior Consultant – AI Assisted Process, Risks and Controls Transformation - Investment Management - Enterprise Operations & Risk 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 organization. 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 As a Senior Consultant, you will have opportunities to: Learn how to identify, evaluate, and prioritize business, operational, regulatory, and technology risks across investment management processes, and apply AI-enabled techniques to improve detection, monitoring, and mitigation of those risks Support clients in designing and implementing AI-enabled governance across the process, risk and control lifecycle including regulatory and compliance impact assessment, process modeling and risk and control mapping, risk identification, control review, testing and enhancement, and issue management and reporting Assist with continuous controls monitoring by leveraging AI to perform simultaneous, continuous anomaly detection across transactions, reconciliations, valuations, and other high-volume operational activities to surface discrepancies earlier. Help deploy AI to enhance process and control effectiveness across the middle/back office processes, including monitoring data flows between systems and data platforms and alerting teams to integration/control issues. Support the development and operationalization of model risk management (MRM) practices for AI and traditional models across the model lifecycle (development, testing/validation, deployment, monitoring), including clearer roles, accountability, and control environment expectations. 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 provide clear guidance to others The Team Our Enterprise Operations & Risk offering enables clients to achieve profitable growth and competitive advantage by optimizing “heart of the business” operations. We leverage deep domain expertise to extend enterprise resilience, agility and remediation. Our professionals address client needs which span the organization and impact strategy, operations, performance and reputation. Qualifications Required Bachelor’s degree. 3+ years of experience in financial services or consulting with exposure to investment management operations, compliance, risk, internal audit, and/or technology/data functions. Demonstrated knowledge of investment management processes (trade lifecycle, reconciliations, collateral/margin, pricing/valuation support, fund/investment accounting, performance/reporting) and where operational risks and controls typically sit. Experience applying AI/advanced analytics to process, risk, and control management, including one or more of: Continuous anomaly detection and exception triage for transactions and operational processes Risk assessment enhancement using broader data inputs and more real-time updates (where applicable) Generative AI (GenAI) use cases with appropriate controls (e.g., drafting control narratives/test scripts, summarizing policies/procedures, generating action reports and recommendations), paired with human review and audit trails Techniques to reduce control burden while maintaining governance in a highly regulated environment Experience or familiarity with MRM and AI governance concepts, including documentation, validation, monitoring, and oversight needed to maintain transparency, fairness, and accountability for AI systems in investment management. Understanding of AI risk considerations (e.g., bias/fairness, reliability, hallucinations, privacy/security, and attribution/copyright risk) and how to mitigate them via governance and controls. Strong project/program management skills and ability to manage multiple priorities and deadlines with high-quality delivery. Strong oral and written communication skills, including supporting proposals and executive-ready presentations. Limited immigration sponsorship may be available. Ability to travel up to 75%, on average, based on the work you do and the clients and industries/sectors you serve.

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