Undergraduate Intern – Quantitative Data & Finance (Cross-Disciplinary

**Position Overview** We are seeking an undergraduate student to support our Finance and IT teams with a focus on **data analysis and quantitative problem-solving**. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making. We welcome candidates from **analytical and cross-disciplinary backgrounds**—including mathematics, statistics, economics, engineering, computer science, and related fields—who are interested in applying quantitative thinking to real-world business and financial problems. **Key Responsibilities** * Work with structured datasets to support basic financial and operational analysis * Assist in organizing, cleaning, and validating data for reporting and modeling * Build and maintain spreadsheets and simple analytical models in Excel * Support development of reports, dashboards, and visualizations * Identify patterns, inconsistencies, or trends in data * Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) * Collaborate with team members on data, finance, and technology-related tasks * Apply quantitative or analytical approaches from coursework to practical business problems **Required Qualifications** * Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Statistics, Economics, Computer Science, Engineering, Finance, or related discipline) * Strong problem-solving and analytical thinking skills * Familiarity with: + Microsoft Excel (formulas, basic functions) + Microsoft Office (Word, PowerPoint) * Comfort working with numbers and structured data * Strong attention to detail and willingness to learn **Preferred Qualifications** * Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects * Experience with Excel functions (e.g., VLOOKUP, pivot tables) * Introductory knowledge of statistics, probability, or data analysis * Interest in financial markets, data analytics, or fintech * Coursework or projects involving: + Data analysis or visualization * Mathematical modeling * Machine learning (introductory) * Computational or applied problem-solving **What You’ll Gain** * Hands-on experience applying quantitative skills in a real-world business environment * Exposure to financial data, analytics workflows, and decision-making processes * Opportunity to build foundational data and modeling skills * Mentorship and professional development * Insight into career paths in quantitative finance, data science, and analytics **Internship Details** * Summer 2026, with possible extension