Security Consultant REQ138

USER EXPERIENCE RESEARCHERS PTE. LTD

Singapore

On-site

SGD 180,000 - 250,000

Part time

5 days ago
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Job summary

USER EXPERIENCE RESEARCHERS PTE. LTD is seeking an senior security architect to drive secure system design across cloud, on‑prem, and hybrid environments.

You will conduct architecture reviews, model threats, and deliver prioritized remediation guidance to project teams and leadership. The role requires eight years in cybersecurity with deep expertise in cloud and data protection, strong communication, and experience with regulated environments.

Qualifications

  • Bachelor's degree in Computer Science, Information Security, or related field.
  • 8+ years of cybersecurity experience focusing on architecture, risk assessment and consultancy across cloud, on-premises and hybrid environments.
  • Deep knowledge of security architecture principles across cloud, application security, IAM and data protection.
  • Strong grasp of risk management, threat modelling and security compliance frameworks.
  • Familiarity with AI security concepts and AI deployment implications.
  • Excellent communication and stakeholder engagement to present complex security concepts clearly.
  • Certifications such as CISM, CRISC, CISSP preferred; AWS CCSP or similar a plus.
  • Experience in regulated industries is advantageous.

Responsibilities

  • Engage project teams as trusted security advisor, guiding secure design from concept to deployment.
  • Conduct in-depth security architecture reviews and provide remediation recommendations.
  • Advise on security design patterns across cloud, application security, IAM, and data protection.
  • Perform structured threat modelling and identify mitigating controls.
  • Conduct risk assessments translating findings into business impact for stakeholders.
  • Develop and maintain security design patterns across key domains including AI deployments.
  • Maintain enterprise security standards and baselines aligned with policies and threats.
  • Assess security posture of AI/ML systems across model lifecycle and deployments.
  • Advise on secure AI deployment with guardrails, oversight, and incident considerations.
  • Evaluate third‑party AI services and LLM integrations for data residency and vendor risks.
  • Develop AI-powered tools to enhance security consultancy efficiency.
  • Identify repetitive tasks and prototype AI-assisted automation solutions.

Skills

Security architecture
Risk assessment
Threat modelling
Compliance frameworks
AI security concepts
Stakeholder comms
Independent work
Security certifications

Education

Bachelor's degree in CS/InfoSec

Job description

Key Responsibilities
  • Engage project teams as a trusted security advisor, supporting them in solutioning and secure system design across cloud, on-premises, and hybrid environments, from early concept through to deployment
  • Conduct in-depth security architecture reviews for new and existing systems, identifying design-level vulnerabilities, misconfigurations, and control gaps, and providing prioritized and actionable remediation recommendations
  • Advise project teams on the application of security design patterns and best practices across key domains including cloud security, application security, identity and access management, and data protection
  • Perform structured threat modelling on systems and applications, identifying potential threats and attack vectors, and recommending proportionate mitigation controls aligned to the risk profile of the system
  • Conduct risk assessments to identify, evaluate, and priorities security risks, translating technical findings into clear business impact to support informed decision-making by project teams and senior stakeholders
  • Develop and maintain security design patterns covering key domains including cloud security, application security, identity and access management, data protection, and AI system deployments.
  • Develop and maintain enterprise security standards and baselines across key domains including endpoint security, network security, cryptography, and AI system deployments, ensuring they remain aligned with applicable security policies, the evolving threat landscape, and organizational needs
  • Assess the security posture of AI and machine learning systems, identifying risks across the model lifecycle including development, training, deployment, and ongoing operations, and recommending appropriate controls to address identified risks
  • Advise on the secure and responsible deployment of AI systems, including defining guardrails, human oversight mechanisms, and incident response considerations specific to AI-related security events
  • Evaluate and advise on the use of third-party AI services and large language model integrations, assessing risks related to data residency, vendor access, model behaviour, and supply chain exposure
  • Develop and iterate on AI-powered tools and workflows to enhance the efficiency and quality of security consultancy activities, such as threat modelling, risk assessment, and architecture review
  • Collaborate with project teams and peers to identify repetitive or time-intensive security tasks that could benefit from AI-assisted automation, and prototype practical solutions to address these
Qualification
  • Bachelor's degree in Computer Science, Information Security, or related field
  • Minimum eight (8) years of relevant experience in cybersecurity, with a strong focus on security architecture, risk assessment, and security consultancy across cloud, on-premises, and hybrid environments
  • Deep knowledge of security architecture principles and practices across key domains including cloud security, application security, identity and access management, and data protection
  • Strong understanding of risk management methodologies, threat modelling techniques, and security compliance frameworks
  • Working knowledge of applicable security policies and frameworks, with experience working in or with highly regulated organizations being highly advantageous
  • Familiarity with AI security concepts and the security implications of AI and machine learning system deployments
  • Excellent communication and stakeholder engagement skills, with the ability to present complex security concepts clearly to both technical and non-technical audiences
  • Ability to work independently, manage multiple concurrent engagements, and deliver quality outcomes with minimal supervision
  • Professional certifications such as CISM, CRISC, CISSP, or equivalent are preferred
  • Relevant certifications such as AWS Certified Security - Specialty or Certified Cloud Security Professional (CCSP) are a plus
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