Internal Audit and Risk Management Intern - Data Analytics & AI

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. 

You'll help banks, asset management and insurance organizations own their future by helping them to transform and create new business models to meet changing customer needs and drive sustainability.

Join our team as the expert you are now and create your future.

About the Role
Interns will support internal audit and risk management engagements for financial institutions, with a strong focus on applying data analytics, artificial intelligence (AI), and model-driven approaches to enhance audit execution, risk assessment, and regulatory compliance. This role is designed for students who combine technical depth with an interest in audit, governance, and risk advisory.
Our Interns join us from a wide range of backgrounds and make an immediate impact working as part of a team committed to developing creative insights, implementing and designing processes, and driving tangible results. Interns receive training and coaching while gaining hands-on experience working independently and in team settings, building effective relationships, and delivering client solutions.

With a solution-oriented mindset, you will collaborate with team members to critically think and problem-solve while executing effective, technology-enabled audit and risk strategies. As an Intern, you will spend your summer working on client projects and participating in team culture initiatives and social events.

Role Focus
This role integrates internal audit, risk management, and regulatory advisory with advanced data analytics and AI, emphasizing the development and application of AI use cases and tools tailored to audit and risk management use cases within financial institutions.

Responsibilities May Include

• Assisting with proposal development, including analytics- and AI-enabled approaches, budgeting, and project timelines for new business opportunities.
• Supporting risk assessment and internal audit planning by:
  • Conducting research on client background, business activities, and key risks.
  • Assisting in internal audit risk assessments and development of audit plans.
  • Preparing materials for audit kick-off meetings and planning sessions.
  • Applying data analytics and AI techniques to support audit risk assessments and scoping decisions.
  • Assisting in the development of internal audit plans and preparation for client kick-off meetings.
• Assisting in the end-to-end execution of internal audit projects, including:
  • Monitoring scope, risks, and issues.
  • Supporting audit fieldwork, documentation, and reporting activities.
• Analyzing differences in policy management, governance structures, and control environments, identifying leading practices for financial institutions.
• Monitoring changes in the regulatory environment and assessing their impact on the organization and client operations.
• Supporting updates to the Enterprise Risk Management (ERM) Framework, including:
  • Major risk identification and maintenance of risk inventories.
  • Documentation of risk taxonomy and governance processes.
• Supporting governance, risk, and compliance (GRC) initiatives, including:
  • Ensuring governance structures support effective risk and compliance management.
  • Assisting with governance training and education related to risk frameworks.
• Supporting technology-enabled projects from a business and governance perspective, ensuring alignment with regulatory and operational requirements.
• Coordinating with internal audit teams and client stakeholders to support project delivery.
• Designing, developing, and testing data and AI to support audit and risk management use cases, such as:
  • Test case development, anomaly detection, and continuous auditing.
  • Risk indicator identification and monitoring.
  • Control effectiveness testing and trend analysis.
• Developing and enhancing analytics tools and AI prompts/scripts to automate audit and risk processes.
• Leveraging prominent AI frameworks and libraries to build, evaluate, and refine models used in audit and risk engagements.
• Analyzing differences in policy management, control environment, and governance practices, identifying leading practices across financial institutions.
• Monitoring changes in the regulatory environment and assessing their impact on audit scope, risk profiles, and compliance requirements.
• Supporting updates to the Enterprise Risk Management (ERM) Framework, including major risk identification and maintenance of risk inventories.
• Supporting governance, risk, and compliance (GRC) initiatives, including governance training and education related to risk frameworks.
• Ensuring that technology-enabled audit and risk solutions improve business operations, audit quality, and regulatory compliance.

Hiring Requirements – Qualifications

• Strong performance in a bachelor’s degree in a field related to this position or equivalent work experience obtained by Spring 2028:
  • Finance and Financial Management, Economics, Law, Business Management, Public Policy, Political Science, Operations Management or related disciplines.
  • Computer Science, Computer Engineering, Data Science, Data Mining, Information Science, Information System Management, Statistics, Applied Mathematics, Engineering, and/or related disciplines with strong data analytics or AI coursework.
• Strong conceptual, critical thinking, analytical, professional judgement, and practical problem-solving skills.
• Excellent verbal and written communication skills.
• Ability to manage multiple priorities in a fast-paced, project-based environment.
• Initiative, professionalism, and ability to collaborate with multidisciplinary teams.
• U.S work authorization is required.
• Must be available for a June 2027 start date.
• Location: Washington, D.C.

Preferred Requirements

• Experience or certification exposure to data analytics, automation, or artificial intelligence.
• Prior internship experience in consulting, audit, risk advisory, risk management, compliance or financial services.
• Demonstrated experience with prominent AI tools, frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, Keras, or similar.
• Familiarity with analytical tools such as Python, SQL, Excel, Power BI, Tableau, or similar platforms.

Application Materials

• Current Resume
• Unofficial Transcript

The compensation for this job is $30/hr. The represents a good faith estimate of the rate that Huron reasonably expects to pay for this job at the time of the job posting. 

Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.  

To learn more about Huron, visit www.huronconsultinggroup.com.

Position Level

Intern

Country

United States of America