Senior Insider Risk & AI Security Analyst​/Engineer IV

Position: Senior Insider Risk & AI Security Analyst/ Engineer IV
This job posting is anticipated to remain open for 30 days, from 11-May-2026. The posting may close early due to the volume of applicants.

Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500¹ company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns.

Behind everything we do is our purpose:
We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging.

People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career.

View our Purpose, Inclusion and Citizenship Report.

¹Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating.

Team Overview:

The Digital Insider Risk (DInR) Department protects The Jones Financial Companies, and its subsidiaries (collectively, "the Firm") against risk stemming from user digital activity. The Digital Insider Risk and Data Loss Prevention (DLP) Analyst will be responsible for monitoring, analyzing, investigating and reporting of User Behavior Analytics and Data Loss Prevention alerts across various tools, ensuring the protection of client and Firm data.

You will work closely with security analysts, engineers, and other IT professionals to enhance our security posture through the development and refinement of detection and enforcement rules.

In addition, this role will support the Firm's emerging use of Artificial Intelligence and machine learning technologies by providing AI observability and risk oversight. This includes monitoring user interactions with AI systems, identifying potential misuse or data exposure, and partnering with engineering and risk teams to ensure AI systems operate securely, responsibly, and in alignment with Firm policies.

What You'll Do:

* Monitor and investigate user activity involving AI-enabled tools (e.g., generative AI platforms, AI copilots, internal ML systems) to identify potential data leakage, policy violations, or misuse.

* Develop and maintain AI observability use cases to increase visibility into how AI systems are accessed, used, and abused across the Firm.

* Assess AI telemetry, logs, and metadata to understand data flows, user behavior patterns, and abnormal or risky AI usage.

* Partner with engineering and platform teams to define logging, monitoring, and alerting requirements for AI systems.

* Support AI governance initiatives by mapping observed AI usage to Firm policies, data classification standards, and insider risk indicators.

* Monitor, triage, investigate, and escalate UEBA and DLP alerts from multiple systems (e.g., Gurucul, XSOAR, Microsoft Purview, Proofpoint, Zscaler).

* Lead high-priority incident response activities related to insider risk and critical data exfiltration events.

* Perform initial analysis of data from a variety of sources (to include but not limited to host, network, cloud, messaging, application), correlating it to meaningful DLP and Insider Risk events.

* Support confidential and complex digital investigations.

* Generate informed reporting around security events and metrics.

* Document investigations in adherence to all audit and legal requirements.

* Support the development of documentation in support of response processes and/or procedures.

* Analyze incidents for patterns of data misuse or exfiltration across email, endpoints, cloud, and web.

* Provide mentorship and guidance to junior analysts, fostering a culture of continuous learning and professional development.

What Experience You'll Need:

* Minimum of 5 years in Information Systems Security or Information Technology with a focus on security controls and processes.

* Experience analyzing or monitoring AI, machine learning, or automation platforms from a…