Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA
2 days ago

Highlights

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. 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).

Numbers & Facts

Location

Cambridge, MA

Description

Job Description

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