2027 Summer Internship - Group Risk Control - Raleigh

UBS•Raleigh, NC

5d•Onsite

About The Position

We’re looking for ambitious and curious students to join our 2027 Summer Internship Program within Group Risk Control in Raleigh, NC. As an intern, you’ll gain practical experience across financial risk management while working alongside colleagues who identify, assess, monitor, and report risks across the firm. You’ll also explore how data, automation, and AI can support better risk insights, stronger controls, and more efficient processes.

Requirements

Will graduate between December 2027 and June 2028.
Cumulative GPA of 3.2 and above.
Demonstrates an interest in risk management, financial services, data, business analysis, or emerging technology.
Strong analytical and problem-solving skills and can approach unfamiliar questions in a structured way.
Can interpret data, identify meaningful patterns, and explain conclusions clearly.
Communicates effectively and can convey complex ideas to different audiences.
Works collaboratively, takes ownership, and is comfortable operating in a fast-moving environment with high standards and real deadlines.
Demonstrates values aligned with ours: hard-working, trustworthy, dedicated, and collaborative.
Curious about AI and can explain how its responsible and experimental use could improve an academic, professional, or personal project.
Willing to learn new tools and can adapt as technologies and business needs evolve.
Students from all majors are welcome. Relevant fields may include finance, economics, business, accounting, mathematics, statistics, data science, computer science, engineering, information systems, public policy, or other analytical disciplines.
Interest in the financial industry and risk management is more important than following one specific academic path.

Nice To Haves

Exposure to Excel, data visualization, or dashboarding tools.
Exposure to Python, R, SQL, or another analytical tool.
Exposure to statistics, financial modeling, data science, econometrics, or quantitative methods.
Exposure to generative AI concepts such as prompt design, retrieval-augmented generation, embeddings, or AI agents.
Exposure to workflow automation, low-code tools, APIs, or process redesign.
Ability to learn, apply sound judgment, work responsibly with data and technology, and connect analytical ideas to real business problems.

Responsibilities

Support risk identification, assessment, monitoring, analysis, and reporting across areas such as credit, market, treasury, model, and enterprise risk.
Analyze financial and non-financial data to identify trends, anomalies, emerging risks, and opportunities for improved risk management.
Contribute to portfolio reviews, risk assessments, scenario analysis, risk modeling, or regulatory-related initiatives.
Help improve recurring reports, dashboards, data processes, and risk-related systems.
Map existing business processes and identify where data, automation, or AI could reduce manual effort, improve consistency, or enhance decision support.
Experiment with approved AI tools to research, summarize, analyze, or communicate information, with appropriate validation and human oversight.
Evaluate the quality of AI-assisted outputs by checking accuracy, relevance, reliability, data quality, and appropriate use.
Collaborate with risk specialists, data professionals, technology colleagues, and business stakeholders on practical projects.
Communicate findings and recommendations clearly to both technical and non-technical audiences.
Contribute to an intern innovation project focused on a real risk or control challenge.