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Staff Security Engineer - AI Security

ExperiencedNo visa sponsorship
Qube logo

at Qube

Proprietary Trading

Posted a month ago

No clicks

**Staff Security Engineer - AI Security**: Grasp tech-driven investing at QRT, design & implement AI security controls. Key duties: secure inference gateways, platforms, tooling; define AI standards; embed controls, manage secrets, vulnerabilities. Eight+ years' experience in security, software or platform engineering required, alongside expertise in LLM platforms, cloud security, and proficiency in coding. Take bold control decisions in uncertain areas; help shape AI security strategy. Desirable: experience in regulated environments, detection engineering. Join QRT's diverse, work-life balanced team.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.

The AI Security function is engineering the controls that allow the firm to adopt frontier AI quickly and safely. The function works across engineering, infrastructure, cloud and security to build controls into the platforms, inference gateways and developer tooling already used across the firm.

Your future role within QRT

We are seeking an exceptional Staff Security Engineer to join our AI Security function. The role is expected to involve the following activities:

 Design and implement security controls in the inference gateways, platforms and developer tooling used across the firm, delivered as code and configuration.
 Embed controls in the systems that engineering teams already work in, so that the secure option is the default.
Define the standards and patterns other teams adopt when building with AI.
Define who an internal agent acts as, what it is permitted to reach and how those decisions are enforced.
Build telemetry that records what ran, on whose behalf and against what.
Establish how agent and automation activity is proven after the fact for audit and investigation.
Secure developer harnesses, plugins, and the dependency and model provenance they rely on.
Own secrets handling and vulnerability management across the AI tooling the firm depends on.
Set provenance and integrity requirements for models and components introduced into the firm.
Threat model live systems across platform and gateway security, agent identity and permissioning, and the AI supply chain.
Deliver the remediation resulting from threat modelling directly.
Identify gaps in control coverage and prioritise remediation against risk and delivery constraints.
Take and document control decisions in areas where no established answer exists.
Set and own the technical direction for the functions core areas and help define how the function works.
Drive the adoption of secure defaults and governed identities and gateways with a reliable audit trail.

Your present skillset

 Experience with LLM platforms, inference gateways or agent frameworks.
Eight or more years of experience in security engineering, software engineering, platform engineering or a closely related technical discipline.
A strong academic record in computer science or software engineering.
The software engineering ability to build and ship controls in production systems, not only review them.
Depth in at least one of application security, platform and cloud security, or security architecture, with working breadth across the others.
Hands-on experience securing cloud platforms and CI/CD pipelines.
The judgment to work in an area with no established practice and make control decisions using incomplete information.
Fluent day-to-day use of coding agents.

Desirable to have experience or a willingness to learn in the following areas

Working in a regulated or high-security environment.
Detection engineering or incident response.
Defining security practice in a function or capability that did not previously exist.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Staff Security Engineer - AI Security

Compensation

Not specified

City: Not specified

Country: Not specified

Qube logo
Proprietary Trading

a month ago

No clicks

at Qube

ExperiencedNo visa sponsorship

**Staff Security Engineer - AI Security**: Grasp tech-driven investing at QRT, design & implement AI security controls. Key duties: secure inference gateways, platforms, tooling; define AI standards; embed controls, manage secrets, vulnerabilities. Eight+ years' experience in security, software or platform engineering required, alongside expertise in LLM platforms, cloud security, and proficiency in coding. Take bold control decisions in uncertain areas; help shape AI security strategy. Desirable: experience in regulated environments, detection engineering. Join QRT's diverse, work-life balanced team.

Full Job Description

QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.

The AI Security function is engineering the controls that allow the firm to adopt frontier AI quickly and safely. The function works across engineering, infrastructure, cloud and security to build controls into the platforms, inference gateways and developer tooling already used across the firm.

Your future role within QRT

We are seeking an exceptional Staff Security Engineer to join our AI Security function. The role is expected to involve the following activities:

 Design and implement security controls in the inference gateways, platforms and developer tooling used across the firm, delivered as code and configuration.
 Embed controls in the systems that engineering teams already work in, so that the secure option is the default.
Define the standards and patterns other teams adopt when building with AI.
Define who an internal agent acts as, what it is permitted to reach and how those decisions are enforced.
Build telemetry that records what ran, on whose behalf and against what.
Establish how agent and automation activity is proven after the fact for audit and investigation.
Secure developer harnesses, plugins, and the dependency and model provenance they rely on.
Own secrets handling and vulnerability management across the AI tooling the firm depends on.
Set provenance and integrity requirements for models and components introduced into the firm.
Threat model live systems across platform and gateway security, agent identity and permissioning, and the AI supply chain.
Deliver the remediation resulting from threat modelling directly.
Identify gaps in control coverage and prioritise remediation against risk and delivery constraints.
Take and document control decisions in areas where no established answer exists.
Set and own the technical direction for the functions core areas and help define how the function works.
Drive the adoption of secure defaults and governed identities and gateways with a reliable audit trail.

Your present skillset

 Experience with LLM platforms, inference gateways or agent frameworks.
Eight or more years of experience in security engineering, software engineering, platform engineering or a closely related technical discipline.
A strong academic record in computer science or software engineering.
The software engineering ability to build and ship controls in production systems, not only review them.
Depth in at least one of application security, platform and cloud security, or security architecture, with working breadth across the others.
Hands-on experience securing cloud platforms and CI/CD pipelines.
The judgment to work in an area with no established practice and make control decisions using incomplete information.
Fluent day-to-day use of coding agents.

Desirable to have experience or a willingness to learn in the following areas

Working in a regulated or high-security environment.
Detection engineering or incident response.
Defining security practice in a function or capability that did not previously exist.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.