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
Numbers & Facts
Location
Cambridge, MA
Skills
Analysis Skillsunmatched
Astrophysicsunmatched
Automationunmatched
Biotech and Pharmaceuticalunmatched
Computer Scienceunmatched
Data Analysisunmatched
Data Cleaningunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Scienceunmatched
Data Setsunmatched
Data Visualizationunmatched
Detail Orientedunmatched
Economicsunmatched
Financeunmatched
Financial Analysisunmatched
Financial Mathematicsunmatched
Financial Operationsunmatched
Machine Learningunmatched
Mathematical Modelingunmatched
Mathematicsunmatched
Mentoringunmatched
Microsoft Excelunmatched
Microsoft Officeunmatched
Microsoft PowerPointunmatched
Microsoft Wordunmatched
Physicsunmatched
Pivot Tablesunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Quantitative Analysisunmatched
Quantum Computingunmatched
R Programming Languageunmatched
Reporting Dashboardsunmatched
Reporting Skillsunmatched
SQL (Structured Query Language)unmatched
Spreadsheetsunmatched
Statisticsunmatched
Stock Marketunmatched
Structured Dataunmatched
Technical Supportunmatched
Training Data Setsunmatched
Vlookupsunmatched
Workflow Analysisunmatched
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