At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.

About the InfoSec team

The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence.

About the role

In this role, you'll help mature Affirm's insider threat program. You'll build out the controls, detection use cases, and investigative practices that make it work day to day, support insider risk investigations, and partner with Legal, HR, Privacy, and Compliance to keep the program effective, proportionate, and trusted by Affirmers.

What you’ll do

Lead the build-out of key insider threat workstreams, from initial design through to day-to-day operation
Build out the program's operating mechanics, including investigative standards, playbooks, and the metrics and reporting that show whether the program is working
Support insider risk investigations alongside SIRT, bringing insider threat expertise, telemetry and evidence analysis, and written findings and risk recommendations
Partner with Legal, HR/Employee Relations, Privacy, and Compliance on case handling and escalation criteria, helping ensure the program respects employee privacy and meets legal and regulatory obligations
Threat model Affirm's highest-risk data and systems for insider risk, and partner with detection engineers to turn the results into production detections
Own and improve the controls that reduce insider risk, including data loss prevention, endpoint monitoring, secure browser and contractor access controls, SaaS posture management, and access governance, working with system owners to close gap
Automate the program's operational load with workflow automation platforms and Python, covering evidence collection, case routing, and reporting
Build and expand agentic automations that assist with insider risk triage and investigation, and define which decisions stay with a human

What we look for

Deep expertise in security engineering, security operations, insider risk, or digital forensics
Track record of standing up new security capabilities where little existed before
Experience running investigations end to end, including evidence handling, log and endpoint forensics, timeline reconstruction, and written findings suitable for Legal and HR audiences Ability to write and evaluate detection logic against endpoint, identity, cloud, and SaaS telemetry in a SIEM (Splunk, Elastic, Panther, Chronicle, or similar)
Hands-on experience with insider risk tooling such as DLP, UEBA, endpoint detection and response, CASB, and access governance, with a practical sense of their strengths and limits
Working knowledge of Python for security tooling and automation
Experience building and maintaining production workflows in automation platforms such as Tines, Torq, or similar
Experience building and running agentic automations in production that assist with alert triage and investigation, such as LLM-driven enrichment, summarization, or first-pass analysis, with a clear view of where human review stays in the loop
Discretion and sound judgment handling sensitive investigations, and comfort navigating the privacy, legal, and employee-relations considerations that insider work carries
Clear written and verbal communication skills, with the ability to work across Security, Engineering, Legal, HR, Privacy, and Compliance
Experience in regulated or financial services environments (SOC 2, PCI DSS, GLBA) is a plus

Base Pay Grade - N

Equity Grade - Canada 6

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.