AI-Driven Tech Risk & Controls Lead

JPMorganChase

Palo Alto (CA)

On-site

USD 140,000 - 200,000

Full time

2 days ago
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Job summary

JPMorganChase in Palo Alto is seeking a Tech Risk & Controls Lead to identify and mitigate technology risks, drive compliant risk controls, and guide technology teams. You will partner with Product Owners, control managers, and regulators to deliver risk posture insights and governance reporting.

The role emphasizes leveraging AI capabilities to streamline risk evidence, enhance control testing, and ensure alignment with security, auditability, and regulatory expectations in a dynamic financial

Qualifications

  • 5+ years of experience in technology risk management or cybersecurity with regulatory focus.
  • Strong knowledge of AI risk governance and data security practices.
  • Familiarity with risk management frameworks and financial industry regulations.
  • Experience using AI capabilities to support risk and controls workflows.
  • Ability to translate technology insights into executive-level decisions.

Responsibilities

  • Identify, quantify, and communicate technology risk with root cause analysis.
  • Build trusted relationships with LOB technologists, assessment teams, and data officers.
  • Use enterprise AI capabilities to accelerate risk evidence synthesis and drafting reports.
  • Govern controls, policies, issue management, and measurements for executives.
  • Promote AI-assisted, reusable control testing while ensuring auditability.
  • Monitor control effectiveness continuously and recommend enhancements.

Skills

Technology risk
Cybersecurity
Regulatory compliance
Risk governance
AI risk
Executive influence

Job description

JPMorganChase in Palo Alto is seeking a Tech Risk & Controls Lead to identify and mitigate technology risks, drive compliant risk controls, and guide technology teams. You will partner with Product Owners, control managers, and regulators to deliver risk posture insights and governance reporting.

The role emphasizes leveraging AI capabilities to streamline risk evidence, enhance control testing, and ensure alignment with security, auditability, and regulatory expectations in a dynamic financial

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