Audit & Assurance Analyst - Risk Technology & Analytics - Summer/Fall 2026, Winter 2027

Position Summary

What does trust mean to you? At Deloitte Audit & Assurance, we believe trust is a foundational element of relationships: between workers and their employers; businesses and their customers; shareholders and their corporations; the business ecosystem and society at large. This begs many questions: How is trust built? How is it measured? How can we best react when trust is lost, and avoid losing trust in the first place?

We invite you to join us as we work to build a more trustworthy tomorrow. As an Analyst, you will leverage your technology and data analytics skillsets to assist our clients as they tackle key business issues that relate to trust. You'll be involved in developing data analysis plans, innovative analytics strategies, developing and assessing organizations' analytics models, and designing and implementing a variety of solutions. By analyzing risk through data and technology, you'll deliver true impact by building a more reliable world.

Recruiting for this role ends on May 29, 2026.

Work You'll Do

Deloitte Risk Technology and Analytics professionals are skilled at providing digital advice and recommendations to clients in addition to developing and deploying leading technology solutions to solve their most pressing business challenges as it relates to risk and trust. Main tasks will include:

• Translate complex data into actionable insights, enabling clients to make informed decisions and enhance their risk management strategies through advanced analytical tools, AI, and Machine Learning.
• Create automation toolkits, standardizing templates and inputs to drive more efficient and reliable outputs.
• Streamline data pipelines to improve process consistency and data management.
• Visualize and communicate results to be easily digestible for key stakeholders with Tableau & PowerBI
• Advise teams on automating control testing and perform continuous monitoring to drive efficiency, acknowledging the risks.

• Design, build, and test quantitative and AI/ML-based models across a broad range of business areas, for example: ESG, digital assets, blockchain, and predicting when risk events (such as fraud) have occurred and the associated organizational impact
• Define and calculate key operations and data risk indicator metrics to help organizations monitor the health and resiliency of their business and data.
• Perform data-driven tests and reconciliations to evaluate compliance with regulatory and financial reporting requirements.
• Deliver actionable insights through the use of data visualization and operational efficiency through the use of intelligent automation.
• Develop agentic AI-based digital applications to enable clients and Deloitte team members to reach higher levels of efficiency and effectiveness in their assurance work.

• Help businesses understand their business and data requirements and developing data sourcing and architecture strategies to fulfill those requirements.
• Assess client's current state regarding their data infrastructure and use of digital technologies (such as analytics & AI); and provide strategic advice and recommendations on how to scale and deliver increased impact with optimal design, architecture, and governance while mitigating data risks.
• Evaluate the client's use of analytical models and AI; providing advice and recommendations on topics such as improving model efficacy, enhancing model governance, and assessing compliance with leading practices and regulatory standards (e.g. model bias and explainability following Deloitte's Trusted & Secure AI™ framework).

• Proficiency in verbal and written communication skills essential to interacting with clients and teams
• Ability to work independently and manage multiple projects/assignments/responsibilities in a fast-paced environment
• Problem solving and critical thinking skills in support of both innovative and operational enhancement opportunities
• Ability to identify, learn, understand, and implement new concepts, frameworks, and emerging technologies
• Ability to manage own personal and professional development; seek opportunities for professional growth and expansion of consulting skills and experience
• A strong understanding of Windows Based systems and proficiency with Microsoft Excel, Word, and PowerPoint
• Understanding of the data lifecycle and solution development lifecycle in order help our clients understand their data and develop actionable solutions to manage it
• Ability to work with and managing data sets, including extraction and merges from source systems, transformation, and providing preliminary descriptive analytics
• Familiarity with Machine Learning and AI techniques

• Bachelor or Master's degrees in the following majors will be considered:
  • Technology: Data Analytics, Computer Science, Management Information Systems
  • Business: Economics, Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
  • Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Mathematics, Statistics, Actuarial Mathematics
• Limited immigration sponsorship may be available
• Strong academic record, cumulative GPA of 3.0 or above
• You should reside within a commutable distance of your assigned office with the ability to commute daily, if required, without the need for overnight accommodations
• You can expect to co-locate at a Deloitte office or client site on average 3 times a week with variations-based business needs
• Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve

• Meets minimum educational requirements for CPA licensure (which may differ from the educational requirements to sit for the CPA exam) in the state of your assigned office location prior to beginning full-time employment
• Cumulative GPA of 3.2 or above
• Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
• Demonstrated recent leadership, such as in a campus club, society, sports teams or other activity
• Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
• Foundational capabilities:
• Scripting languages: SQL, Python
• Data Management: Microsoft SQL Server, nonrelational databases (e.g. Mongo Db), Snowflake, Databricks, etc.
• Experience in either specialization:
• Advanced analytics specialists:
• Exploratory data analysis & population profiling
• Predictive analytics & data mining
• Data Visualization Tools: Tableau, Power Bi, QlikView
• Machine learning & cognitive
• App development specialists:
• React, Angular, Vue.js, etc.
• Cloud (AWS, GCP, Azure, etc.)
• Containerization (e.g. Docker, Kubernetes)
• Large Language Models (OpenAI, Gemini, etc.)
• API Development
• UI/UX Design