Sr. Insider & Data Risk Analyst

About Alpaca

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.

Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with institutional-grade APIs, including broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.

Your Role

As Senior Insider & Data Risk Analyst, you will own insider risk investigations and help mature Alpaca's Insider Risk Management Program and Data Loss Prevention capabilities. You will triage and investigate signals across people, devices, identity, and data movement, apply risk tiering and escalation standards, and partner with People/HR, Legal, Compliance, Engineering, and IT on sensitive cases involving departures, policy violations, and data misuse.

This role sits at the intersection of insider risk, data protection, privacy, and financial services. Reporting to the Cyber GRC Lead, you will serve as Security's escalation point for insider and data loss cases affecting trading systems, customer data, and proprietary information. This is a practical senior individual contributor role for someone experienced, discreet, and highly organized who can own investigation workflows, translate risk into clear language for leadership, and build durable programs and processes. Prior experience in a regulated or financial services environment is a strong plus.

Things You Get To Do

• Own insider risk investigations from triage through closure, including case timelines, containment, escalation, and documented determinations and lessons learned
• Mature Alpaca's Insider Risk Management Program, including case management processes, risk tiering, and repeatable workflows
• Operate and tune Data Loss Prevention tooling across multiple environments and endpoints, refining rulesets to improve signal and reduce false positives
• Mature data classification and align DLP controls to sensitivity levels
• Investigate potential data exfiltration, misuse, and policy violations; build and tune detections and monitoring
• Investigate misuse and exfiltration risk across source code, Google, AWS, Azure, third party apps, Slack, and trading and platform system access
• Partner with People/HR, Legal, Compliance, and IT on sensitive cases (departures, policy violations, data mishandling) with discretion and care
• Assess risk from unauthorized AI/agentic tooling and