Undergraduate Intern – Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company; Cambridge (MA); On-site; USD 20,664 - 34,440; Full time

Benefits offered by this job

Hands-on experience

Mentorship and professional development

Insight into quantitative finance and data science career paths

Job summary

Risk Analytics Company is seeking an undergraduate intern for Summer 2026 in Cambridge, MA, focusing on data analysis and quantitative problem-solving. The candidate will assist Finance and IT teams by working with structured datasets, verifying data, and building analytical models. A Bachelor's in a quantitative discipline is required, alongside problem-solving skills and familiarity with Excel and programming tools. This position offers hands-on experience and professional development in a real-world business context.

Qualifications

• Currently pursuing a Bachelor's degree in a quantitative or analytical field.
• Familiarity with Microsoft Excel and Microsoft Office.
• Strong problem-solving and analytical thinking skills.
• Comfort working with numbers and structured data.

Responsibilities

• Work with structured datasets to support financial analysis.
• Assist in organizing, cleaning, and validating data.
• Build and maintain spreadsheets and analytical models.
• Collaborate on data, finance, and technology-related tasks.

Skills

Problem-solving skills

Analytical thinking

Data analysis

Attention to detail

Education

Bachelor’s degree in quantitative or analytical field

Tools

Microsoft Excel

SQL

Python

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