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