Senior Consultant-AI and Data Risk Management

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.

As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data‑driven solutions for clients across financial services, fintech, and technology industry sectors.

• Serve as a key contributor on multi‑disciplinary teams, collaborating closely with managers and client stakeholders to deliver high‑quality data and analytics engagements
• Guide and mentor junior team members, providing direction on project tasks and supporting skill development
• Assist in the design, implementation, and optimization of data management solutions – this includes data architecture, platforms, governance, quality, and security initiatives
• Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
• Support the integration of next‑generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
• Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
• Collaborate with cross‑functional teams — both internal and external — to execute project tasks and fulfill engagement objectives
• Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
• Prepare project documentation, status updates, and client‑ready deliverables highlighting progress, technical findings, and recommendations
• Present findings and insights to stakeholders in a clear and compelling manner

• 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 work streams
• 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

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end‑to‑end implementation, and focus on business‑as‑usual sustainability across processes, controls, and data & analytics infrastructure.

• Bachelor’s degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
• 4+ years’ experience in data architecture, data management, or data engineering
• 2+ years of experience in the financial services or fintech industry
• Demonstrated proficiency in relevant tools and platforms, including programming/scripting languages such as Python, SQL, R, Java, Scala, etc.
• Big‑Data tools such as Databricks, Snowflake, Apache Spark/Kafka, etc.
• Data management tools such as Collibra, Alation, Informatica, Alteryx, etc.
• Predictive analytics tools such as Python, IBM SPSS, SAS, RPL, etc.
• Data visualization tools such as Tableau, PowerBI, Qlik, etc.
• Data mining/warehousing tools such as Microsoft SQL Server, Amazon Redshift, Google Big Query, etc.
• Experience and familiarity with:
  • Banking regulatory reporting tools (e.g., Axiom)
  • Data integration and migration projects in financial services
  • Data governance best practices, especially in regulatory contexts
  • Strong analytical skills and experience with managing and manipulating large datasets
• Excellent written and verbal communication skills for presenting complex technical information to both technical and non‑technical stakeholders
• Demonstrated ability to solve complex problems in fast‑paced environments
• Ability to travel up to 50% on average, based on the work…