Java Equities developers required by this leading financial services organisation.
Expert Java developers needed by this tech enabled financial services to work alongside some of the most impressive developers in the Singapore market.
Our client are undergoing a period of growth and due to this are looking to hire experienced Java Equities developers into their team to work on the building of real-time trading systems.
The ideal candidate will offer:
In-depth experience gained in a similar role within financial services TDD based developmentExperience of multithreadingFirst class Java experience
Singaporean or Permanent Residents only
For more information contact daniel.warwick@eamesconsulting.com
We are partnering with a leading financial services organization looking for a Cybersecurity Engineering Lead to strengthen and enhance its enterprise security capabilities across the region. This role is suited for an experienced cybersecurity professional who is both technically strong and confident leading projects and stakeholders in a regulated environment.
Responsibilities:Design and improve enterprise security architecture in line with regulatory and industry standards.Lead regional security engineering projects, managing vendors and internal stakeholders.Implement and manage security tools such as Splunk, Microsoft Sentinel, FireMon, and Illumio to improve monitoring and network security governance.Drive vulnerability management, remediation, and security hardening across on-premise and cloud environments.Work closely with risk, audit, and compliance teams to support security reviews and incident investigations.
Requirements:At least 10 years of experience in cybersecurity or information security.Strong hands-on experience with SIEM, security analytics, and network security policy management tools.Broad knowledge across areas such as IAM, network security, cloud security, data protection, and security architecture.Good communication and stakeholder management skills, with the ability to lead initiatives effectively.
Please note: This is an individual contributor role with high visibility and ownership across regional security initiatives.
This is a strong opportunity to take ownership of key security engineering initiatives within a regulated and fast-paced organization.
We are partnered with an established financial services institution to look for a senior software engineer to build thier platform used for onboarding, KYC, and AML processes across the region.You will work at the intersection of software engineering and business workflow systems, delivering solutions that support regulatory compliance and client onboarding at scale.
ResponsibilitiesDesign, build, and enhance applications supporting CLM workflowsConfigure and customize CLM platform components including:WorkflowsRules enginesData modelsUI componentsTranslate business and functional requirements into technical solutionsDevelop backend services using C# / .NET and integrate with enterprise systems via APIsWork on cloud-native applications deployed on Microsoft AzureCollaborate with business analysts, product owners, and integration teamsSupport system integration across upstream and downstream banking systemsPerform unit testing and support SIT / UAT activitiesManage application releases, deployments, and documentationProvide post-production support, including incident resolution and root cause analysisMaintain and enhance system performance, stability, and scalability
RequirementsBachelor’s degree in Computer Science or related field8 - 10 years of software development experienceStrong experience in C# / .NET developmentHands-on experience working with workflow-driven or case management systemsExperience with CLM, KYC, AML, or onboarding platformsFamiliarity with Fenergo or similar CLM products is highly advantageousExperience with Microsoft Azure, including Functions and messaging servicesStrong understanding of API integration and distributed systemsExperience working in banking or financial services environmentsGood understanding of SDLC methodologies (Agile or Waterfall)Ability to work closely with business stakeholders and translate requirements into solutions
Senior Java Software Engineer required by this leading financial services organisation.
Seasoned Java experience need for this role sitting within the market data team.
The ideal candidate will offer a minimum of 4 years proven experience of producing solid Java code,
Additional experience required includes but is not limited to:Multi-threadingdemonstrating strong stakeholder management capabilitymentoring of more junior team membersoffering a high knowledge of engineer best practicesMicroservicesKafka
Great opportunity to join an organisation which truly focusses on your career development.
Singaporean or PR only.
Contact me at daniel.warwick@eamesconsulting.com for more information.
Eames Consulting is partnering with a highly established enterprise in Singapore to find a driven Chatbot Operations Specialist. Please note that this is a 12-month contract position, where the successful candidate will be employed directly on Eames Consulting's payroll and deployed to our client.
As digital engagement becomes increasingly critical, our client is investing heavily in its conversational AI capabilities. This is a fantastic opportunity for an early-career tech professional looking to deepen their expertise. Sitting at the intersection of operations, data analytics, and user experience, you will take hands-on ownership of the day-to-day running of the company’s chatbot platforms. You will be directly responsible for "teaching" the bot, maintaining its health, refining its language models, and leveraging data to ensure a seamless user journey.
Key ResponsibilitiesBot Maintenance & NLP Tuning: Actively manage and train the conversational AI. You will design, review, and refine conversation flows, utilising Natural Language Processing (NLP) principles to improve the bot's intent recognition and conversational accuracy.Performance Optimisation: Proactively monitor daily platform performance to identify and remediate low-performing intents, misunderstood queries, and bottlenecks in the user journey.Data Management & Analytics: Track, interpret, and report on key metrics—focusing on CSAT, containment/deflection rates, and handover quality—using these data points to highlight areas for improvement.Stakeholder Collaboration: Work closely with cross-functional teams (including UI/UX, tech, and business champions) to understand user needs, gather feedback, and support the rollout of new features.Content & Governance Management: Ensure all chatbot content is synchronised with internal knowledge bases and CRM systems. Maintain comprehensive documentation, including SOPs and change logs, whilst assisting with end-to-end UAT.
The Ideal CandidateExperience: 1 to 3 years of hands-on experience in chatbot operations, conversational AI design, or digital customer engagement. Recent graduates with strong, relevant internship experience in NLP or conversational AI are also highly encouraged to apply.Technical Proficiency: Familiarity with enterprise conversational AI platforms (experience with IBM Watson, Haptik, or similar tools is highly advantageous). A solid baseline understanding of Natural Language Processing (NLP) concepts and how to apply them to train chatbot data is essential.Analytical Mindset: Strong data management skills with the ability to interpret platform dashboards and build reports using tools like Excel or BI platforms.Educational Background: A Diploma or Bachelor’s degree in Data Analytics, Computer Science, Information Technology, or a related technical discipline.Attitude: A willingness to learn, a hands-on approach to problem-solving, and a keen interest in the conversational AI landscape.
On behalf of our client, we are seeking a dedicated IT Applications Audit Manager to lead their IT Applications Audit team. This is a specialised leadership role focused on ensuring the integrity, security, and compliance of a complex application landscape. You will take full ownership of the IT applications audit lifecycle while directly overseeing and developing a team of technical auditors.
Key ResponsibilitiesTeam Leadership: Formally manage, mentor, and review the work of a dedicated team of IT Auditors focused on application controls.Audit Lifecycle Management: Take full responsibility for audit planning, scoping, and fieldwork execution specifically for enterprise-level applications (e.g. ERP, core business systems).Technical Oversight: Lead deep-dive reviews of application-level risks, including data privacy, interface controls, and automated business process controls.Reporting & Delivery: Finalise high-quality audit reports and present findings to senior management, ensuring clear communication of remediation requirements.Stakeholder Management: Build strong relationships with IT application owners and business process leads to drive a culture of robust internal controls.
Must-Have RequirementsPlease Note: This role requires prior experience in a formal people-management capacity within an IT Audit environment.Management Experience: A proven track record of managing a team of auditors, including performance management and the quality review of their work.Audit Expertise: Extensive experience leading audit planning and fieldwork specifically within the IT Applications domain.Technical Proficiency: A deep understanding of application control frameworks, SDLC, and automated controls.Certification: CISA (Certified Information Systems Auditor) is mandatory.Communication: The ability to translate complex technical application risks into business impact for non-technical stakeholders.
Why This Opportunity?Specialised Focus: Lead a high-performing team in a niche, critical area of the business.Impact: Direct influence over the application security and control environment of a major organisation.Leadership: A key role for a manager who enjoys developing talent and refining audit methodologies.
How to ApplyInterested candidates who meet the mandatory management criteria are encouraged to apply via LinkedIn or reach out to me directly for a confidential discussion.
We are partnered with a top-tier financial insititution in the region and are currently searching for a strategic IT leader to spearhead their infrastructure architecture and platform services across the Asia Pacific region. This is a high-impact role driving hybrid cloud adoption, system rationalization, automation, and regulatory alignment at an enterprise scale.
As the Director of Infrastructure Architecture, you will bridge the gap between regional business needs and global IT transformation goals. You will own the end-to-end server platform strategy, driving innovation and resilience across the bank's most critical infrastructure environments.
Key ResponsibilitiesDirect the APAC infrastructure strategy, leading cloud migration and modernization initiatives to align with enterprise architecture and mid-term IT goals.Oversee comprehensive server platform services across the region - including compute, virtualization, databases, storage, backup, and hybrid cloud environments.Partner with global architecture teams to uplift infrastructure policies, solutions, and engineering standards. Proactively guide regional system rationalization.Champion the design and deployment of secure, automated platform services, modern observability tools, and global engineering best practices.Command incident management to ensure minimal service disruption. Oversee vendor governance, technology lifecycle management, vulnerability mitigation, and robust disaster recovery/BCP strategies.Foster a high-performance culture by mentoring distributed teams of architects and engineers. Deliver clear, executive-level reporting on infrastructure health, risk posture, and financial metrics to global stakeholders.
What We’re Looking For15+ years of progressive leadership experience in IT Infrastructure, preferably within the Financial Services sector.Proven track record of driving regional or global IT transformation programs, cloud migrations, vendor governance, and multi-cloud strategies.Deep architectural understanding of Hybrid Cloud, Virtualization (VMware, Hyper-V), Compute, Storage, Backup, and High-Availability design.Solid grasp of APAC regulatory mandates (e.g., MAS, APRA, RBI, BNM, BOT), alongside strong foundational knowledge of IT security, risk management, and cybersecurity controls.Experience managing distributed teams (onshore and offshore) with strong financial acumen for budgeting and cost optimization.Degree in Computer Science, IT, or a related field.Must-have Certification in Enterprise Architecture (e.g., TOGAF, ITIL) OR a relevant Technical domain (e.g., Microsoft MCSE, VMware VCF, Nutanix NCP).Good-to-have Security/Risk certifications (CISSP, CISM) or Project Management certifications (PMP, PRINCE2).
If your or someone you know is keen in this opportunity, kindly apply at the link directly or send your CV to derek.lee@eamesconsulting.com to have a confidential discussion
Please note that at this time, we are only able to consider local Singapore Citizens or Permanent Residents (PRs) for this position.
We are partnering with a leading financial institution currently undergoing a significant digital transformation. They are looking for a Senior AI Engineer to join their Core AI team. This is a pivotal role where you will bridge the gap between advanced research and production-grade financial solutions, impacting everything from algorithmic trading and risk assessment to hyper-personalised customer experiences.
Key ResponsibilitiesArchitect & Deploy: Lead the design and deployment of scalable AI/ML models (NLP, LLMs, Computer Vision, or Predictive Analytics) within a secure cloud environment.End-to-End Engineering: Take ownership of the full ML lifecycle, including data pipeline construction, feature engineering, model training, and CI/CD integration.Optimisation: Fine-tune large-scale models for low-latency financial applications, ensuring high performance and reliability.Stakeholder Collaboration: Work closely with Product Managers, Data Scientists, and Quant Researchers to translate complex business requirements into technical AI roadmaps.Governance & Ethics: Ensure all AI solutions adhere to strict financial regulations, focusing on model explainability, bias mitigation, and data privacy.
Technical RequirementsEducation: A Master’s or PhD in Computer Science, Mathematics, Physics, or a related quantitative field.Programming: Mastery of Python and experience with C++ or Java in a production environment.AI Frameworks: Deep expertise in PyTorch, TensorFlow, or Keras.Tooling: Strong experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS, Azure, or GCP).Big Data: Proficiency with Spark, Flink, or similar distributed processing frameworks.Domain Knowledge: Previous experience within Financial Services (Banking, Insurance, or Hedge Funds) is highly desirable but not mandatory for a standout technical candidate.
Why Apply?Work on high-stakes projects with massive, real-world datasets.Competitive compensation package with performance-based bonuses.Clear career progression into Lead Engineer or Architect roles.A culture that values technical excellence and continuous learning.
How to ApplyIf you are a builder who thrives at the intersection of Finance and AI, please apply directly or reach out for a confidential discussion.
Our client, a prominent enterprise with vast digital operations, is looking for a highly analytical professional to join their specialised security intelligence unit. This role is positioned perfectly at the intersection of big data analytics and cyber defence. You will be instrumental in shifting the organisation from a reactive security posture to a proactive one, uncovering hidden anomalies and precursors to potential cyber-attacks before they materialise.
Your Impact:Pioneer proactive threat discovery by engineering and validating complex hypotheses against massive, disparate datasets to expose concealed attack vectors.Distil highly technical analytical outputs into compelling, visually intuitive narratives that empower senior leadership to make swift, strategic security decisions.Partner seamlessly with operational security teams, translating your intelligence findings into immediate, targeted remediation strategies to neutralise emerging threats.
What You Bring:A strong academic background rooted in a quantitative discipline, such as Data Science, Applied Mathematics, Statistics, or Computer Science.Commercial experience (1+ years) deeply involved in data manipulation and quantitative analysis, underpinned by a rigorous grasp of statistical modelling, probability distributions, and hypothesis testing.Proven technical fluency in navigating and extracting value from large-scale data environments, utilising ecosystems like Spark, Hive, or Hadoop, alongside advanced SQL scripting capabilities.A genuine passion for the cybersecurity landscape; whilst deep security expertise can be developed, foundational knowledge of network topologies, system vulnerabilities, or relevant industry certifications will highly distinguish your application.Exceptional communication skills with a proven track record of mastering new technical domains autonomously.
Our client, a highly regarded enterprise organisation, is searching for an experienced technologist to take ownership of their secure data infrastructure. In this critical position, your primary mandate will be to engineer highly resilient cloud environments that safeguard massive, complex datasets. You will serve as the bridge between advanced data architecture and stringent cyber protection standards, ensuring that all information assets remain locked down against modern digital threats.
Your Impact:Spearhead the end-to-end architecture of hardened data transit workflows across major public clouds, including AWS, Google Cloud, or Azure.Construct high-volume, highly efficient data integration and extraction pipelines whilst embedding deep security protocols at every technical tier.Enforce rigorous data protection standards through advanced cryptographic methods, tokenisation, and strict identity and access management.Establish proactive observability and telemetry frameworks to instantly detect and mitigate infrastructure vulnerabilities or data-related security events.Act as a leading technical authority during internal compliance reviews and threat assessments, working in tandem with senior leadership to shape security policies.Champion a culture of secure data handling by mentoring internal teams and advising external partners on best-in-class security protocols.
What You Bring:A solid academic foundation with a Bachelor’s degree in Computing, Information Technology, or an equivalent technical discipline.A wealth of professional background—ideally around a decade—focusing heavily on building secure data ecosystems (though highly capable mid-level professionals are also warmly encouraged to apply).Demonstrated mastery of native cloud security configurations, such as managing VPCs, firewalls, Cloud Trail, or Guard Duty.Deep familiarity with modern data storage and warehousing ecosystems, including S3, Redshift, and DynamoDB, alongside both relational (e.g., PostgreSQL, MySQL) and NoSQL databases.Strong coding capabilities in Python or Java , paired with hands-on expertise in orchestrating complex workflows via tools like Airflow, NiFi, AWS Glue, or Fluentbit.Practical experience managing distributed big data frameworks (such as Hadoop and Spark) and deploying workloads using containerisation solutions like Kubernetes and Docker.A deeply analytical mindset, combined with the communication skills necessary to articulate complex security metrics to non-technical stakeholders.
