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Deloitte Risk & Financial Advisory Intern - Analytics - Internal Audit (Summer 2025)

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Deloitte

Jul 30

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Banking & Finance
    Data
  • Charlotte

Requirements

  • 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 collaborate and communicate across Deloitte team members and client stakeholders
  • 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
  • Proficiency in scripting languages and data visualization platforms
  • Understanding of the data lifecycle and solutions 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
  • Ability to identify, learn, understand, and implement new analytics concepts and data management frameworks
  • Qualifications:
  • Required:
  • Pursuing a Bachelor or Master’s degree in one or more of the following majors with relevant analytics or data management focused coursework:
  • 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
  • Strong academic track record with extracurricular activities (cumulative GPA of 3.0 or above)
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • 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
  • Our current work environment is a hybrid approach, which means:
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to be co-located 30-50% with variations based on types of work/projects and client locations
  • Preferred:
  • 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
  • Demonstrated recent social impact or volunteer activity
  • Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
  • Foundational capabilities:
  • Scripting languages: SQL, Python, HTML, VBA, SAS, R
  • Data Visualization Tools: Tableau, Power Bi, QlikView
  • Data Management: Microsoft SQL Server, Oracle, Mongo Db
  • Experience in one of the following specializations:
  • Advanced analytics specialists:
  • Predictive analytics & data mining
  • Machine learning & cognitive
  • Big Data Tools: Hadoop, Hive, Pig, Impala, Mahout
  • Reporting specialists:
  • Business Objects, Reporting Services
  • Advanced visualization design capabilities
  • App development specialists:
  • HTML, Java, JavaScript, etc.

Responsibilities

  • DEVELOP ANALYTICS 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.
  • ASSESS CLIENT’S DATA & ANALYTICS CAPABILITY AND PROVID 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); 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; 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 Trustworthy AI™ framework).

FAQs

What is the role of an Analytics – Internal Audit Intern at Deloitte?

The intern will leverage technology and data analytics skills to assist clients in addressing key business issues related to trust. Responsibilities include developing data analysis plans, innovative analytics strategies, assessing analytics models, and designing solutions to analyze risks through data and technology.

What qualifications are required to apply for this internship?

Applicants must be pursuing a Bachelor’s or Master’s degree in technology, business, or math/engineering with relevant analytics or data management coursework. A strong academic track record (cumulative GPA of 3.0 or above) is also necessary, along with legal authorization to work in the U.S. without employer sponsorship.

What are some of the specific tasks an intern would perform?

Interns will design, build, and test AI/ML-based models, calculate key risk indicator metrics, perform data-driven tests for compliance, deliver actionable insights through data visualization, and assess clients’ data analytics capabilities.

What technical skills are preferred for this internship?

Candidates should have proficiency in scripting languages (e.g., SQL, Python, R) and data visualization tools (e.g., Tableau, Power BI). Familiarity with data management tools (e.g., Microsoft SQL Server, Oracle) and experience in areas like predictive analytics and machine learning are also advantageous.

What is the work environment like for this internship?

The current work environment is hybrid, meaning interns should reside within a commutable distance of their assigned office and can expect to work co-located 30-50% of the time, depending on projects and client locations.

Are there any travel requirements for the intern position?

Yes, interns may be required to travel up to 50%, depending on the nature of their work and client engagements.

What type of experience is preferred for applicants?

Preferred candidates will have relevant work experience, such as internships or part-time work in a professional environment, along with recent leadership involvement in campus activities and demonstrated social impact or volunteer work.

What opportunities for professional development does Deloitte offer to interns?

Deloitte provides a variety of learning opportunities, including on-the-job experiences, formal development programs, and mentorship to help interns grow their skills and advance their careers.

How does Deloitte define its purpose as a company?

Deloitte’s purpose is to make an impact that matters for clients, employees, and communities by creating trust and confidence in a more equitable society. This purpose reflects in their daily work and core commitments to sustainability, equity, and trust.

What benefits does Deloitte offer to its employees?

Deloitte values its people and offers a broad range of benefits. Although specific benefits are not detailed in the job description, the organization emphasizes supporting the well-being and professional growth of its employees.

Consulting
Industry
10,001+
Employees
1845
Founded Year

Mission & Purpose

Deloitte, as one of the Big 4 global professional services firms, offers a comprehensive range of services including audit, tax, consulting, and advisory solutions to clients worldwide. Their ultimate mission is to deliver exceptional value to their clients by helping them navigate complex challenges, achieve sustainable growth, and stay ahead in an ever-changing business landscape. Deloitte's purpose lies in making an impact that matters and contributing to the success and well-being of their clients, people, and communities. With a team of skilled professionals and a commitment to innovation and collaboration, Deloitte strives to shape the future of business and create positive, lasting outcomes for their stakeholders.

Culture & Values

  • Lead the way

    We are not only leading the profession, but also reinventing it for the future. We are also committed to creating opportunity and leading the way to a more sustainable world.

  • Serve with integrity

    By acting ethically and with integrity, we have earned the trust of clients, regulators, and the public. Upholding that trust is our single most important responsibility.

  • Take care of each other

    We look out for one another and prioritize respect, fairness, development, and well-being.

  • Foster inclusion

    We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps deliver well-rounded client solutions.

  • Collaborate for measurable impact

    We approach our work with a collaborative mindset, teaming across businesses, geographies, and skills to deliver tangible, measurable, attributable impact.

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