Summer Risk Intern

Summer Risk Intern at Capstone Investment Advisors

At Capstone Investment Advisors, we approach the world with a distinct perspective, and as a Summer Risk Intern, you will too. Capstone is a global asset manager specializing in derivatives and complementary strategies that consistently generate alpha across various market cycles. With approximately $11.8 billion in AUM and 326 employees as of November 1, 2025, Capstone is headquartered in New York, with additional offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland. Since 2004, we have leveraged strategic insight, market-leading expertise, and advanced technology to anticipate and navigate the complexities of global markets, fostering unique opportunities for our clients, team, and industry.

We serve a sophisticated, global client base and understand that our success is intrinsically linked to real people. This drives our human-centric approach to all endeavors, with a strong emphasis on collaborative performance. Our workflow and processes are designed around the conviction that shared ideas lead to superior outcomes. This philosophy grants you unparalleled access to resources, direct exposure to senior leadership, and continuous opportunities for experimentation and innovation.

Role Overview

The Risk Management Team is integral to the firm, responsible for comprehensively measuring, monitoring, and managing Capstone's risks. The team identifies, quantifies, evaluates, and reports risks stemming from trading strategies across all asset classes. You will work in close collaboration with trading and technology teams to develop and maintain essential tools for risk management and analytics, ensuring managers are well-informed of existing and potential risks to both the firm and its investors.

Placement options for this internship include roles within Risk Technology or the core Risk team.

Who We Are Looking For

• Current undergraduate or master’s student
• Proficiency in Microsoft Office suite (Excel, PowerPoint, Word, Outlook)
• Experience with Python or Java, particularly with hands-on project work, is highly advantageous
• Pursuing an undergraduate or master’s degree in Mathematics, Financial Engineering, Computer Science, or a closely related field
• Graduating in 2026 or 2027
• Demonstrated interest in financial markets
• Experience in writing Python code, utilizing libraries such as Pandas, NumPy, scikit-learn, Dash, Plotly, Flask, and Django
• Strong written and verbal communication skills
• Ability to develop creative solutions to complex problems
• Familiarity with machine learning concepts is beneficial

Bonus Skills

To thrive and excel at Capstone, candidates should possess intellectual curiosity, an eagerness to share ideas, humility, the highest ethical standards, and a desire for continuous improvement. A keen interest in technology and artificial intelligence is also essential, as we continually innovate and enhance our strategic capabilities.

Benefits and Compensation

Our team is our most valuable asset and investment. We prioritize the well-being of our colleagues, both inside and outside the workplace, a commitment reflected in our culture.

The hourly compensation for this role ranges from $29.00 to $40.00 USD. The precise hourly rate offered will be determined by factors such as relevant experience, specific skills, training, location, certifications, education, and applicable minimum wage requirements. Each decision is made on a case-by-case basis.

Equal Opportunity Employer

Capstone is dedicated to fostering an inclusive environment that welcomes individuals from diverse backgrounds. We evaluate applications for employment without discrimination based on all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.

To learn more about joining our team, please visit our careers page online: Careers - Capstone.

Don’t forget to follow us on LinkedIn!

Key skills/competency

• Risk Management
• Financial Engineering
• Python Programming
• Quantitative Analysis
• Financial Markets
• Data Analytics
• Machine Learning
• Derivatives
• Problem Solving
• Communication Skills