Senior Consultant, Risk and Forensics - Enterprise Operations & Risk

Job Summary

The Deloitte Regulatory, Risk & Forensic team assists clients in translating multifaceted risk and an evolving regulatory environment into actionable strategies that enhance their organizational resilience and drive value creation.

Responsibilities

• Lead the development of technology-enabled business solutions by translating business requirements into functional requirements, user stories, process flows, and solution documentation.

• Facilitate requirements-gathering sessions with business stakeholders, including legal and compliance teams, to define future-state needs and prioritize solution capabilities.

• Support implementation planning and execution across configuration, testing, defect management, and deployment activities using agile or waterfall methodologies.

• Analyze processes, workflows, organizational structures, and data usage to identify improvement opportunities and inform management decision-making.

• Manage workstream activities, review deliverables, prepare client-ready materials, and coach junior practitioners while supporting client relationships.

Qualifications

• Minimum qualifications: Bachelor's degree in Economics, Finance, Statistics, Mathematics, Computer Science, Management Information Systems, Engineering, or Business Analytics; 4+ years of professional experience supporting business analysis, technology implementation, analytics, process improvement, regulatory, risk, legal, or compliance initiatives; proficiency with Microsoft Word, Excel, and PowerPoint; ability to travel 25% based on the work and clients served.

• Preferred qualifications: Experience in a professional services or consulting environment as a Business Analyst, Senior Business Analyst, Consultant, or Senior Consultant; experience supporting technology-enabled transformation, analytics, automation, regulatory, risk, legal, or compliance initiatives; experience with agile, waterfall, PRINCE2, MSP, ITIL methodologies; experience with Python, Apache Spark, SQL, NoSQL, Hadoop, data visualization, machine learning, or AI; experience with finance processes, management reporting, or business optimization; relevant certifications.