Risk Management Intern

Clockles Technology; Dover (DE); On-site; USD 13,392 - 20,088; Full time

Job summary

Clockles Technology is offering an internship focused on risk modeling and analysis across credit and market risk concepts used in financial institutions.

Participants will work on guided risk analysis projects, learning how quantitative models support risk assessment, stress testing, and decision-making in real-world settings.

Qualifications

• Finance, Statistics, Economics, or Quantitative majors.
• Familiarity with regression, probability, and basic statistics.
• Experience with Excel and data visualization tools.
• Interest in risk management or quantitative finance.

Responsibilities

• Gather and analyze risk-related datasets using Python or R.
• Practice building stress-testing and Value-at-Risk (VaR) models.
• Explore scenario analysis and risk metric dashboards.
• Present risk analysis findings in structured reviews.

Skills

Familiarity with regression

Probability concepts

Statistics basics

Education

Finance

Statistics

Economics

Quantitative majors

Tools

Excel

Data visualization tools

Job description

Internship Description

This internship provides project-based learning exposure to risk modeling and analysis, focusing on credit and market risk concepts commonly used in financial institutions. Participants will work on guided risk analysis projects, learning how quantitative models support risk assessment and decision-making.

Activities & Exposure

• Gather and analyze risk-related datasets using Python or R
• Practice building stress-testing and Value-at-Risk (VaR) models
• Explore scenario analysis and risk metric dashboards
• Present risk analysis findings in structured reviews

Outcomes

• Practical understanding of risk modeling frameworks
• Experience translating quantitative results into insights
• Exposure to financial risk analysis workflows

Requirements

Preferred Background

• Finance, Statistics, Economics, or Quantitative majors
• Familiarity with regression, probability, and basic statistics
• Experience with Excel and data visualization tools
• Interest in risk management or quantitative finance