Undergraduate Intern Quantitative Data Finance CrossDisciplinary

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

Job summary

Risk Analytics Company in Cambridge, Massachusetts, is seeking an undergraduate intern for Summer 2026. This role focuses on data analysis and problem-solving, providing hands-on experience with financial datasets and modeling. Candidates should be pursuing a Bachelor's degree in a quantitative field and possess strong analytical and problem-solving skills. The internship offers mentorship, exposure to financial data, and career insights in quantitative finance and data analytics.

Qualifications

• Currently pursuing a Bachelor's degree in Mathematics, Computer Science, or related field.
• Strong problem-solving skills and attention to detail.
• Familiarity with Excel and basic data analysis.

Responsibilities

• Support financial and operational analysis with structured datasets.
• Assist in organizing and cleaning data for reports.
• Build and maintain spreadsheets and analytical models.

Skills

Analytical thinking

Problem-solving

Attention to detail

Familiarity with Excel

Familiarity with SQL

Basic knowledge of programming

Education

Pursuing a Bachelor’s degree in a quantitative field

Tools

Microsoft Excel

Microsoft Office

Python

SQL

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.

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