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CLS Group

Provides multilateral netting-based FX settlement infrastructure

IAM Engineering Lead - CISO

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeIselin, Woodbridge Township, NJ, USANo salary listed

About the Job

Requirements

  • Senior leadership experience in security engineering or cyber engineering in complex, regulated environments; markets technology, investment banking, or financial market infrastructure experience is strongly preferred.
  • Proven delivery of large-scale security platforms end-to-end, from design through build and run, including multi-system integration.
  • Deep experience in identity and privileged access engineering.
  • A strong track record of regulatory and audit engagement and evidence-based assurance.
  • An engineering mindset with the ability to work deeply on architecture, automation, telemetry, and operational resilience.
  • Ability to translate strategic vision into execution.
  • Ability to influence at executive level through strong communication.
  • A data-driven, outcome-focused approach to measurable security improvements.
  • Comfort operating in fast-paced, evolving environments.
  • Approximately 10 years of security engineering and architecture experience, including approximately 5–7 or more years in a senior leadership role.
  • Experience working in highly regulated operations and complex organizational structures.
  • Experience reporting to senior leadership to support executive-level decision-making and prioritization.
  • Experience engaging in complex governance and contributing to multi-layered committees or forums.
  • Ability to understand, interpret, and apply regulatory requirements, compliance requirements, and industry standards.

Responsibilities

  • Lead the strategic design, implementation, and governance of a comprehensive identity and access management program.
  • Architect and scale identity systems for workforce, customer, and machine identities, accounting for their distinct risk profiles and regulatory demands.
  • Accelerate onboarding of applications and infrastructure into the IGA platform, expand PAM coverage to network devices and non-traditional endpoints, build secrets management capability, and embed AI-assisted automation while maintaining security and auditability.
  • Scale application and infrastructure onboarding to IGA through phased, iterative deployment, prioritizing critical systems and expanding coverage over time.
  • Automate provisioning and access reviews using IGA connectors, role-based access control frameworks, and AI-driven workflows to reduce manual errors and accelerate user lifecycle management.
  • Implement self-service capabilities and identity workflow automation to accelerate onboarding to the IGA platform.
  • Establish data cleansing practices, continuous syncing with authoritative HR systems, and monitoring to maintain accurate identity and entitlement data and integration governance.
  • Use AI and machine learning where possible to generate role recommendations, detect over-permissioning, and automate access certification workflows.
  • Govern machine identities, including workloads, services, and future AI agents, through IGA lifecycle management and a unified access governance framework.
  • Deploy AI/ML behavioral anomaly detection to identify unauthorized or suspicious IAM activities, including potential abuse by rogue AI agents.
  • Onboard critical device and infrastructure accounts to PAM, including network devices, databases, and cloud infrastructure; implement just-enough-privilege and just-in-time access models to reduce standing privileges and blast radius.
  • Expand PAM coverage beyond Linux and Windows to network devices, databases, cloud infrastructure, and applicable non-traditional endpoints such as operational technology.
  • Implement just-in-time access and zero standing privileges across PAM-managed resources where possible, limiting privilege duration and scope to specific use cases and time-bound sessions.
  • Redistribute high-volume, low-risk IAM tasks to AI agents, including routine provisioning, deprovisioning, access reviews, and anomaly detection, while maintaining human oversight, exception handling, and strategic decision-making.
  • Implement AI-driven recommendations for access reviews, vulnerability remediation, and role engineering to accelerate decisions and improve accuracy.
  • Design and monitor AI agent identity lifecycle management, including provisioning, fine-grained authorization, token monitoring, and continuous auditing of agent activities to prevent privilege escalation or unauthorized data access.
  • Negotiate and manage vendor relationships to align technical roadmaps with organizational strategy, meet regulatory requirements, and deliver value.
  • Define and track outcome-driven metrics for IGA onboarding cycle time and coverage expansion; identity-related incidents and unauthorized access; PAM scope and just-in-time privilege adoption; user experience and self-service adoption; and AI recommendation accuracy and agent anomaly detection.
  • Build and lead a high-performing security engineering function aligned to product-based delivery.
  • Help define the security engineering target operating model, including platform ownership, DevSecOps integration, and automation-first principles.
  • Establish engineering standards, patterns, and reusable security services.
  • Select, deploy, and manage tooling and vendors; integrate tooling with upstream and downstream systems; develop tooling automation; continuously optimize tooling; monitor platform health; and perform remediation and resiliency engineering.
  • Work closely with and partner with the Executive Director and Head of Identity and Access Management.
  • Partner with the CIO, CISO, technology heads, and senior business leaders to align security engineering initiatives with organizational priorities.
  • Work with enterprise security architects and solution architects on control gaps, control maturity, and business cases.
  • Translate risk and threat insights into practical engineering outcomes.
  • Manage vendor relationships and strategic technology partnerships.

Desired Qualifications

  • SailPoint IGA platform administration and customization, including roles, policies, workflows, and connectors.
  • Delinea PAM platform expertise, including credential management, session recording, and just-in-time workflows.
  • Cloud infrastructure security, including AWS IAM.
  • Identity and access intelligence or AI/ML analytics applied to IAM use cases.
  • Experience in markets technology, investment banking, or financial market infrastructure is strongly preferred.

About the Company

CLS Group

Provides multilateral netting-based FX settlement infrastructure

CLS Group operates a global FX settlement infrastructure used by thousands of counterparties to move and settle currency trades. Its platform uses multilateral netting to ensure only net payment obligations are funded, dramatically reducing capital needs and settlement risk. The service is widely adopted and market-created, delivering a standardized, high-volume settlement network and providing risk management and market intelligence tools from the largest FX data source. The goal is to make the FX market safer, smoother, and cheaper by enabling efficient settlement, reducing systemic risk, and offering actionable data across the FX lifecycle.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2002

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