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 intern, 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.
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
In addition to the above, you will:
DEVELOP DIGITAL SOLUTIONS
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
ASSESS CLIENT'S DATA & DIGITAL CAPABILITY AND PROVIDE STRATEGIC ADVICE & RECOMMENDATIONS
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)
Regardless of project type, your work will require:
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
The Team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
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
Candidates must be at least 18 years of age at the time of employment
Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred:
Meets minimal 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
Information for applicants with a need for accommodation:
https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-a
