A leading international financial services organisation is seeking a Cyber Security Engineer to join its Proactive Security function. This role will focus on strengthening security capabilities through threat detection, security engineering, automation, and proactive defence initiatives across a complex enterprise environment.

• Permanent (£70k - £80k)
• London / Hybrid
• Must have UK citizenship / ILR Visa / EU settled status

Key Responsibilities

Threat Modelling & Security Engineering

• Develop and maintain threat models for business-critical systems and services.
• Assess security risks and recommend controls during project design and implementation.
• Build and maintain capabilities for proactive detection, configuration monitoring, and automated remediation.
• Lead security tooling integrations and orchestration initiatives.
• Develop and enhance SOAR capabilities.
• Support identity-based threat detection, privileged access management, and session monitoring.

SIEM Engineering & Security Monitoring

• Design, implement, and maintain SIEM workspaces, data connectors, analytics rules, dashboards, and playbooks.
• Develop advanced threat hunting queries and investigation workflows.
• Onboard and optimise critical security log sources across on-premise and cloud environments.
• Improve detection accuracy through continuous tuning and use case development.
• Troubleshoot and resolve log ingestion and data quality issues.

Threat Detection & Incident Response

• Design and deploy advanced detection use cases covering modern attack techniques.
• Translate threat intelligence into actionable monitoring and detection capabilities.
• Perform proactive threat hunting activities.
• Contribute to security playbooks, response procedures, and operational improvements.

Security Advisory

• Provide expert guidance on application and infrastructure security.
• Support the evaluation and proof of concept of emerging security technologies.
• Act as a subject matter expert across cyber security initiatives.

Required Experience

• 5+ years' experience in Security Engineering, Security Operations, Security Automation, or a related cyber security discipline.
• Strong hands-on experience with SIEM platforms, EDR solutions, and detection engineering.
• Experience developing and supporting SOAR capabilities.
• Solid understanding of Active Directory security and Windows event logging.
• Proficiency with PowerShell and/or Python scripting.
• Good understanding of networking concepts including firewalls, VPNs, proxies, and security protocols.
• Experience securing Azure, AWS, or GCP environments.
• Knowledge of cyber security frameworks such as NIST, MITRE ATT&CK, and Cyber Kill Chain.
• Excellent communication and stakeholder management skills.

What You'll Gain

• Opportunity to work in a mature and forward-thinking cyber security environment.
• Exposure to enterprise-scale security technologies and cloud platforms.
• Ownership of detection engineering, threat hunting, and security automation initiatives.
• Collaboration with experienced cyber security professionals across infrastructure, cloud, and security operations teams.

Sounds interesting? Apply to find out more!

• Support the development and refinement of partner marketing strategies, ensuring alignment with business priorities and local market needs.
• Launch and manage marketing programs with and through partners, including co-marketing campaigns, enablement initiatives, events, and digital marketing activities.
• Collect, consolidate, and analyze data from multiple sources to evaluate program effectiveness and identify trends, opportunities, and areas for improvement.
• Develop and maintain reporting mechanisms to track KPIs, ROI, and program performance, providing recommendations to stakeholders.
• Act as a liaison between partners and internal stakeholders to ensure alignment, collaboration, and successful execution of initiatives.
• Support the development and delivery of marketing content, collateral, tools, and training materials for partner engagement and enablement.
• Monitor market trends, competitive developments, and partner ecosystem changes to inform marketing strategies and programs.
• Leverage AI tools and technologies to improve marketing effectiveness, automation, reporting, and operational efficiency.
• Proactively explore new technologies, tools, and approaches to enhance program performance and drive innovation.

• At least 7 years of experience in marketing, partner marketing, channel marketing, alliances marketing, or related disciplines.
• Proven track record of developing and executing successful marketing strategies and programs.
• Experience working with partners across multiple markets and understanding regional business practices and cultural considerations.
• Strong program and project management skills, including managing multiple initiatives, stakeholders, timelines, and deliverables.
• Excellent written and verbal communication skills.
• Strong analytical capabilities, with experience using data to drive decision-making and measure program impact.
• Experience creating marketing content, enablement materials, and partner-facing communications.
• Demonstrated ability to collaborate effectively across complex organizations and influence stakeholders at various levels.
• Proficiency with AI tools and technologies to improve productivity, automate workflows, and enhance marketing outcomes.
• Experience consolidating data from multiple sources and translating findings into actionable insights and recommendations.
• Knowledge of digital marketing channels, campaign execution, and performance measurement.
• Strong problem-solving skills, adaptability, and ability to operate in a fast-paced environment.
• Curiosity, growth mindset, and commitment to continuous learning and adoption of new technologies.

• Create video ads and branded content from brief to final version.
• Develop content for social media, CTV, gaming, short-form drama and brand campaigns.
• Turn campaign goals and key messages into clear creative ideas and videos.
• Use AI tools for video, images, voice and music, together with editing, motion graphics or live-action when needed.
• Adapt videos for different platforms, formats and audiences.
• Create different versions of ads to test hooks, openings, CTAs and formats.
• Review AI-generated content for quality, accuracy, brand fit and overall appeal.
• Spot issues such as visual errors, inconsistent products, unnatural movement, poor lip sync or incorrect text.
• Test different AI models and workflows and share clear feedback with product and engineering teams.
• Help create better prompts, templates and ways of working for content production.
• Make sure content follows brand, legal, platform and AI disclosure requirements.

• Experience creating commercial ads or branded content for real brands, products or clients.
• A portfolio showing AI-assisted video work from brief through final edit.
• Experience with both brand advertising and ads focused on driving results.
• Hands-on experience with AI tools for video, images, voice, music and editing.
• Good understanding of short-form and digital advertising, including vertical and creator-led content.
• Strong eye for visual quality, brand consistency and product accuracy.
• Able to review AI-generated content and give clear, useful feedback.
• Comfortable working quickly and handling multiple versions and feedback rounds.
• Fluent in English.

• Experience in performance marketing, gaming, short-form drama, e-commerce, retail or APAC markets is a plus.
• Experience working with product or engineering teams is a plus.
• Mandarin, Korean or Japanese is a plus - you will need to speak with local stakeholders in Korea, Japan and Taiwan

We are looking for a Power Platform & Copilot Studio Specialist to support the design, development and deployment of process automation and AI-driven solutions across key business workflows, including Loans and KYC/AML.

The ideal candidate will have strong hands-on experience with Power Apps, Power Automate, Copilot Studio and Dataverse, together with a good understanding of automation, orchestration and Power Platform security.

Key Responsibilities

• Build and maintain Power Automate flows for in-scope processes, including Loans and KYC/AML workflows and hand-offs.
• Design and develop Power Apps solutions and Power Automate flows.
• Configure and develop Copilot Studio agents to support business processes and automation.
• Design and implement Copilot Studio solutions, including conversational workflows and agent orchestration.
• Implement AI-assisted automation and orchestration capabilities across business processes.
• Design and maintain Dataverse data models to support Power Platform solutions.
• Support testing, tuning, troubleshooting and deployment activities.
• Configure and maintain Power Platform DLP policies and security controls.
• Work closely with business and technology stakeholders to translate process requirements into scalable automation solutions.

Key Skills & Experience

• Hands-on experience with Microsoft Power Platform, particularly:
  • Power Apps
  • Power Automate
  • Copilot Studio
  • Dataverse
• Proven experience designing and implementing Power Automate workflows.
• Practical experience building and configuring Copilot Studio agents.
• Experience with AI-assisted automation and orchestration.
• Good understanding of Power Platform security and DLP configuration.
• Experience supporting testing, deployment and production environments.
• Experience within financial services, banking, Loans or KYC/AML processes would be highly desirable.

Deliver onsite employee events from initial planning through live execution and post-event review. You will coordinate vendors and internal service teams, manage event logistics, and support the procurement and budget processes behind each activation.

This is a 12-month contract based in Singapore, with potential extension or conversion depending on business needs.

Responsibilities

• Coordinate onsite events and employee activations from planning through post-event completion.
• Manage venue setup, audiovisual requirements, catering, signage, facilities support and event-day operations.
• Work with security, workplace, safety and other internal teams to ensure events are delivered properly.
• Coordinate agencies, suppliers and other external partners against agreed timelines and requirements.
• Prepare supplier briefs, request quotations and monitor delivery quality.
• Ensure vendors complete the required onboarding, safety, permit and risk-assessment processes.
• Maintain the local events calendar and coordinate regional event programmes when required.
• Collect attendance data and feedback, then document lessons and recommended improvements.
• Maintain event plans, run-of-show templates, process guides and other reusable documents.
• Raise purchase requisitions and purchase orders, resolve supplier queries and monitor payment progress.
• Track event budgets, reconcile supplier spending and maintain accurate financial documentation.

Requirements

• At least 4 years of experience in event operations, event production or a similar role within a corporate or agency environment.
• Proven experience managing events from planning through onsite execution and completion.
• Experience coordinating several events, suppliers and deadlines at the same time.
• Hands-on knowledge of procurement processes, including vendor onboarding, purchase requisitions and purchase orders.
• Experience tracking event budgets and reconciling supplier spending.
• Strong supplier-management and cross-functional coordination skills.
• Able to remain organized and responsive when priorities change close to an event.
• Strong written, verbal and interpersonal communication skills.
• Bachelor’s degree in Events Management, Communications, Business or a related discipline.
• Experience within a large corporate or technology environment would be advantageous.
• Knowledge of event-management systems, attendee data collection or multi-site events would be useful.
• Graphic-design or content-creation experience for event communications would be beneficial.

Manager, Technology Evaluation & Cloud Security

Location: Singapore
Employment Type: Permanent, Full-time
Industry: Technology, Digital Innovation and Enterprise Transformation

About the Opportunity

Our client is a leading organisation supporting enterprise digital transformation, technology innovation, and the growth of promising technology companies.

They are looking for an experienced technology professional to evaluate innovative digital products, assess technical and security risks, and advise technology companies on secure, scalable, and enterprise-ready architectures.

This is a unique opportunity for someone who enjoys working across cloud architecture, cybersecurity, technical assurance, emerging technologies, and senior stakeholder engagement.

Key Responsibilities

• Conduct detailed technical evaluations and risk assessments of innovative technology products.
• Assess product capabilities, technical differentiators, architecture maturity, and market readiness.
• Develop risk-based test plans covering functionality, performance, security, scalability, reliability, maintainability, and usability.
• Review application architecture, source-code scan results, penetration-testing findings, and technical documentation.
• Provide architectural guidance on secure and scalable cloud deployments across AWS, Azure, and GCP.
• Identify security, infrastructure, and architectural gaps and recommend practical remediation strategies.
• Support the onboarding and deployment of technology products within secure cloud sandbox environments.
• Troubleshoot cloud infrastructure, networking, security, performance, and deployment issues.
• Develop reusable architecture patterns, security guardrails, and Infrastructure-as-Code automation using tools such as Terraform.
• Monitor cloud security posture, platform health, utilisation, compliance, and expenditure.
• Evaluate emerging technologies across enterprise software, AI, GenAI, agentic systems, cybersecurity, cloud, and IoT.
• Present technical findings clearly to founders, CTOs, engineering teams, enterprise buyers, and senior business stakeholders.

Requirements

• Degree in Computer Science, Engineering, Information Systems, Cybersecurity, or a related discipline is preferred.
• At least five years of relevant experience in cloud architecture, infrastructure, cybersecurity, solution architecture, technical consulting, or a related domain.
• Strong knowledge of at least one major cloud platform, with broader exposure to AWS, Azure, and GCP.
• Experience reviewing modern application and cloud architectures for security, scalability, performance, and reliability.
• Proven experience conducting technical risk assessments, security assessments, or product evaluations.
• Knowledge of cloud security controls, enterprise security frameworks, and secure deployment practices.
• Exposure to Infrastructure-as-Code tools such as Terraform.
• Familiarity with Kubernetes, containers, microservices, APIs, and cloud-native architectures would be advantageous.
• Understanding of penetration testing, vulnerability assessment, source-code scanning, or application security review.
• Experience supporting proof-of-concepts, product onboarding, or enterprise cloud deployments.
• Exposure to Singapore public-sector security standards or regulated technology environments would be advantageous.
• Relevant cloud, security, or infrastructure certifications would be beneficial, including AWS, Azure, GCP, CISSP, CCSP, CKA, or CKS.

Ideal Candidate Profile

The successful candidate will be:

• Technically strong across cloud architecture and cybersecurity.
• Comfortable evaluating unfamiliar products and emerging technologies.
• Commercially aware and able to balance technical risk with business outcomes.
• Confident communicating with founders, CTOs, senior executives, and engineering teams.
• Proactive, independent, and comfortable managing multiple evaluations or workstreams.
• Diplomatic and capable of delivering constructive technical feedback.
• Passionate about enterprise technology, innovation, and Singapore’s digital ecosystem.

Why Consider This Opportunity?

• Evaluate innovative products across AI, cloud, cybersecurity, enterprise software, and IoT.
• Work directly with high-growth technology companies and senior technology leaders.
• Influence how emerging technology products achieve enterprise readiness.
• Gain broad exposure across technology evaluation, cloud security, architecture, and product assurance.
• Contribute to technology adoption and digital innovation at an ecosystem level.

Mid-Senior Machine Learning Engineer

Permanent Role | Hybrid Work Arrangement | Huge exposure to a wide variety of projects

The opportunity

We are looking for a hands on Mid-Senior Machine Learning Engineer to build, deploy and maintain AI solutions for financial services use cases. You will join a regional engineering team and work across internal product development and client projects, including compliance, KYC and account opening automation.

What you will do

• Build AI and machine learning solutions from concept through production
• Develop applications using large language models, RAG and agentic workflows
• Own MLOps activities covering deployment, monitoring, evaluation and ongoing improvement
• Build reliable Python services that integrate AI models with enterprise systems and data
• Work with foundation models such as Claude and internally hosted AI tools
• Deploy solutions across AWS and Azure environments
• Evaluate model quality, reliability, accuracy and production performance
• Support incident management teams with technical investigation when required
• Collaborate with colleagues across Singapore, Asia and Europe
• Work across different projects, clients and AI use cases

What we are looking for

• Strong experience across machine learning engineering, data science, data engineering or MLOps
• A clear track record of moving from traditional machine learning into applied AI
• Strong Python engineering and software development fundamentals (experience with PyTorch, TensorFlow or similar frameworks)
• Hands on experience deploying, monitoring and maintaining production AI or ML systems
• Experience with LLM applications, RAG, model evaluation and prompt development
• Working knowledge of DevOps, MLOps and cloud infrastructure
• Experience within banking or financial services is preferred
• Knowledge of compliance, KYC, account opening or other regulated processes would be valuable
• A stable career history with evidence of delivering complex projects over time
• Strong communication skills and the ability to work independently across regional teams

Candidates from leading technology companies may also be considered if they bring strong engineering depth and production AI experience.

This role suits an experienced engineer who combines machine learning knowledge with practical software engineering and takes ownership beyond the prototype stage.

Please reach out to me via isabelle.ho@nicollcurtin.com with your contact number and resume (in Microsoft word format) should you be interested.

(Tip for a successful consideration: As you prepare your application, we encourage you to carefully review the requirements associated with this role to ensure eligibility. To support a meaningful assessment of your fit, your resume should provide clear, detailed examples of your contributions, measurable impact, and relevant commercial experience that align with the role’s criteria. Please be aware that we rely solely on the information presented in your application - if specific experience or achievements are not included, we are unable to infer or assume them.)

Lastly, we will be only be able to consider candidates who are currently based in Singapore.

Principal ML Engineer

We are looking for a Principal Machine Learning Engineer to build and improve the core ML systems behind its consumer applications, spanning LLMs, agents, long running workflows, persistent context and memory, tool use, inference and evaluation.

This is a hands on individual contributor role with technical leadership responsibility, working closely with Research and Application Engineering to take complex ML problems from experimentation into production.

What you will do

• Experimentation and evaluation through deployment and ongoing improvement
• Build reliable model and agent capabilities that support real product experiences
• Develop evaluations to understand model behaviour, measure quality and identify failures
• Improve production performance across latency, reliability, safety and cost
• Apply training, fine tuning or inference improvements where they solve the problem
• Set technical direction within your area, mentor engineers and stay close to implementation

What we are looking for

• Excellent Python skills, strong ML fundamentals and practical experience with PyTorch or JAX
• Personal ownership of production ML systems, including implementation, deployment and operation
• Ability to independently solve complex, ambiguous ML problems and ship measurable improvements
• Strong understanding of evaluation, model behaviour and production trade offs
• Robust software engineering practices and the ability to collaborate across research and product engineering

Experience that would strengthen your application

• LLM or agent systems, persistent memory, tool use or long running workflows
• Model training, fine tuning, alignment or distillation for real products
• Scalable inference, distributed training or serving, quantisation or GPU optimisation
• Evaluation systems that improve model quality, robustness or safety

We welcome engineers with particular depth in inference, evaluation or applied ML, as well as those specialising in training and fine tuning.

Please reach out to me via isabelle.ho@nicollcurtin.com with your contact number and resume (in Microsoft word format) should you be interested.

(Tip for a successful consideration: As you prepare your application, we encourage you to carefully review the requirements associated with this role to ensure eligibility. To support a meaningful assessment of your fit, your resume should provide clear, detailed examples of your contributions, measurable impact, and relevant commercial experience that align with the role’s criteria. Please be aware that we rely solely on the information presented in your application - if specific experience or achievements are not included, we are unable to infer or assume them.)

Lastly, we will be only be able to consider candidates who are currently based in Singapore.