AI-Driven Security Risk Intern

AI Chopping Block; Menlo Park (CA); On-site; USD 55,000 - 69,000; Part time

Benefits offered by this job

Quarterly lifestyle wallet

Paid time off

Catered meals

Commuter benefits

Job summary

Robinhood is seeking an intern for Security Risk Management to help develop risk management processes and leverage AI for faster, clearer risk analysis in a dynamic finance environment. You will collaborate across security, governance, and business units, contributing to automations and AI tool integrations.

The role is based in Menlo Park, CA, with in-person work expected several days per week, offering exposure to enterprise risk, data privacy, and cutting-edge security practices.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or Business Information Systems (rising junior/senior preferred) with a graduation date of Winter 2027 or Spring 2028
• Coursework or practical experience in information security concepts
• Familiarity with cloud technologies (AWS, SaaS, PaaS) and interest in how they relate to enterprise risk
• A strong problem-solving mindset and the ability to connect systems and communicate ideas clearly
• Curiosity about data privacy, security tooling, and the role of AI in risk management

Responsibilities

• Partner with teams across security, legal, governance, compliance, and business units to understand security risk practices
• Support the development of process automations and improvements in the GRC (Governance, Risk, Compliance) space
• Help implement or integrate AI-based tools to enhance security risk assessments and decision-making
• Work on real-world problem-solving using your technical and analytical skills
• Communicate findings and project outcomes to both technical and non-technical stakeholders

Education

Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or Business Information Systems

Tools

AWS

SaaS

PaaS

Job description

Robinhood is seeking an intern for Security Risk Management to help develop risk management processes and leverage AI for faster, clearer risk analysis in a dynamic finance environment. You will collaborate across security, governance, and business units, contributing to automations and AI tool integrations.

The role is based in Menlo Park, CA, with in-person work expected several days per week, offering exposure to enterprise risk, data privacy, and cutting-edge security practices.