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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, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven 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, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven 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
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