Senior Security Operations Analyst (Detection & Response)

Point Digital Finance•San Francisco, CA

2d•Remote

About The Position

Point Digital Finance is expanding its Information Security function, and this is the team's first dedicated monitoring and response hire — a high-visibility role with immediate, measurable impact. As Senior Security Operations Analyst (Detection & Response), you will be the second half of an incident-response rotation, partnering directly with the security lead to detect, investigate, and contain threats across a regulated consumer-finance environment that protects the financial data of hundreds of thousands of homeowners. This is not an alert-watching seat: you will engineer the detections, automate the response, and harden how we see our AWS, Google Workspace, and SaaS estate. You'll help stand up a modern detection & response practice from an early-stage footing, with the autonomy to own problems end to end and the mandate to turn noisy alerts into fast, repeatable, well-documented response. If you like building as much as responding — and want your work to directly reduce risk to real people's financial lives — this role is for you. Check out our latest Engineering Blog to learn more about why it's a great time to join Point's Engineering team!

Requirements

5+ years of experience in security operations, incident response, SOC, or detection engineering (mid-to-senior individual contributor).
Hands-on experience running or actively participating in an on-call / incident-response rotation, independently.
Strong SIEM skills — authoring and tuning detections, correlation rules, and dashboards (Coralogix, Splunk, Elastic, Microsoft Sentinel, or similar).
Practical cloud security experience in AWS and Google Workspace, including identity and log sources.
Demonstrated ability to investigate and contain incidents end to end — e.g., phishing/AiTM, account takeover, business email compromise, and cloud/identity threats.
Working knowledge of vulnerability management and coordinating remediation with engineering teams.
Scripting and automation ability (Python or similar) for detection-as-code and SOAR-style workflows.
Clear written and verbal communication — able to produce runbooks, metrics, and audit-ready documentation.
Comfortable operating with autonomy on a small team and owning problems end to end.
Authorized to work in the United States, and able to participate in an off-hours on-call rotation.

Nice To Haves

Hands-on experience using AI/LLMs for security analysis, investigation, and alert engineering (detection authoring, correlation, tuning, and automation).
Experience in a regulated financial-services or fintech environment (GLBA, NYDFS Part 500, SOC 2).
Relevant certifications (e.g., GCIA, GCIH, GCED, GIAC, CySA+, Security+, or AWS Security Specialty).
Experience standing up detection & response practices from an early or greenfield state.

Responsibilities

Rotate on-call and lead response: share the 24/7 on-call and incident-response rotation with the security lead — triaging, investigating, and driving containment of security alerts and incidents.
Own response documentation: build and maintain incident-response runbooks, escalation paths, and post-incident reviews so response is consistent and repeatable.
Engineer detections: build, tune, and maintain SIEM detections, correlation rules, dashboards, and reporting in Coralogix across cloud and identity log sources.
Close coverage gaps: reduce false positives and onboard new log sources to eliminate detection blind spots.
Own vulnerability management: run day-to-day vulnerability management — prioritize findings, coordinate remediation with system owners, and report on risk reduction across cloud and endpoints.
Automate response: develop detection-as-code and lightweight automation/SOAR so common alerts self-triage and response is faster and repeatable.
Add operational redundancy: serve as a redundant administrative and response path so containment is never bottlenecked on a single person.
Report and evidence: produce recurring security metrics and reporting for leadership, and supply control evidence for audits.
Apply AI to the workflow: use AI/LLM tooling to accelerate investigation, correlation, and detection engineering.
Improve the program: contribute to continuous improvement of the security-operations program, tooling, and threat monitoring.