Total 19 job vacancies by Unison Group

We are seeking a Wholesale Banking Subject Matter Expert (SME) with strong industry consulting experience to help define data-driven business use cases and guide the development of analytics and reporting solutions.

The consultant will work closely with internal teams to review existing enterprise data assets, identify high-impact use cases, and provide strategic direction on the appropriate technology stack to enable measurable business outcomes.

This engagement will focus on establishing clear KPIs, measurable business value, and a pipeline of use cases that can drive revenue growth, cost optimization, operational efficiency, and risk mitigation.

Business & Industry Advisory

• Assess existing enterprise data landscape within wholesale banking operations.
• Identify high-value business use cases based on industry best practices and global banking experience.
• Translate business challenges into analytics and reporting opportunities.

Data & Analytics Strategy

• Evaluate available datasets and determine analytical opportunities.
• Define use cases for reporting, dashboards, and advanced analytics.
• Recommend appropriate technology architecture and reporting stack.

Solution Direction & Mentoring

• Provide strategic guidance to internal delivery teams.
• Mentor and direct teams on how to operationalize use cases.
• Ensure solutions are aligned with business outcomes and measurable KPIs.

Business Outcome Focus

Use cases should demonstrate measurable impact such as:

• Revenue growth
• Cost reduction
• Cycle time improvement
• Risk and compliance mitigation
• Operational efficiency

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Responsibilities:

• Developing and maintaining the entire DevOps pipelines.

• Coordinate with the stakeholders from requirements gathering until successful implementation DevOps pipeline on boarding.

• Support developers in preparation of JIRA deployment tickets as part of change management

• Work with the vendors and for internal platforms to setup centralized DevOps solutions considering market best practice, Industry standard and ease of support.

• Work with the vendors and for internal platforms to upgrade the DevOps tools farm and integrating with tools.

• Lead analysis and resolution of root cause for Test Orchestration / Environment related issues

• Ability to multitask and work in a fast-paced, collaborative team environment.

• Excellent written and oral communication skills; writing, publishing and conference-level presentation skills

• Stays current with industry trends and leads development of key DevOps, Runtime, and Operational innovation platforms.

Requirements:

• Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA and Confluence).

• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.

• Must have experience in containerizing applications and have hands-on with building pods / containers in Kubernetes

• Good Experience on OpenShift or AWS

• Prior technical background on different build and branching strategies.

• Deep technical background on Kubernetes deployment process.

• Good knowledge on maintaining/deploying secrets in Kubernetes.

• Prior working experience in setting up Jira workflow.

• Strong hands-on experience on Shell or Groovy scripting.

• Prior experience is customizing JIRA and Setting up confluence spaces.

• Prior hand-on experience in setting up CI/CD pipeline as a centralized solution.

• Hand on experience in setting up DevOps governance, Security standards and audit requirements.

• Prior experience in setting up DevOps pipeline in internal and external cloud offerings.

• Experience with continuous testing, techniques and tools (Junit, Sonar Cube, Veracode etc.)

• Technical exposure of automation accomplished with advanced Python, Chef, Ruby and PowerShell

• Experience in managing hybrid cloud/on-prem environments.

• Familiarity with observability platforms and incident response workflows.

• Working knowledge of AI / Machine Learning applications will be an advantage.

• Working knowledge of Big Data environment like Hadoop, Cloudera and ElasticSearch.

Technical Skills:

• CI/CD software, tools and process

o Bitbucket

o Jenkins

o JIRA

o Artifactory

o Confluence

o Sonar

o Veracode for SAST

We are looking for a skilled Data Engineer with strong experience in cloud platforms like Amazon Web Services and Microsoft Azure. The candidate will be responsible for building scalable data pipelines, managing large datasets, and supporting analytics and reporting systems.

Job Title: JavaScript Developer (4-7 Years)

Location: Mainly in Thomson area. Sometimes in Bishan area

Experience: 4-7 Years

Project Overview:

• Join a project involving a newly deployed web-based tool.
• Post-deployment, future business requirements and enhancements for the tool are yet to be defined.

Role & Responsibilities:

• Maintain and enhance the existing JavaScript code for the web-based tool.
• Collaborate with stakeholders to understand future business needs as they are defined.
• Develop and implement new features, enhancements, and bug fixes in JavaScript.
• Ensure code quality, performance, and adherence to best practices.
• Participate in code reviews and provide technical recommendations.

Skills & Requirements:

• Strong expertise in JavaScript (ES6+), with 4-7 years of experience.
• Experience with front-end frameworks/libraries (React, Angular, or similar) is preferred.
• Good understanding of web technologies (HTML5, CSS3, AJAX, JSON).
• Ability to work independently and manage evolving requirements.
• Strong problem-solving and debugging skills.
• Experience in maintaining and enhancing existing codebases.

Nice to Have:

• Knowledge of version control systems like Git.
• Familiarity with Agile/Scrum development methodology.

Job Summary: We are looking for a highly capable and experienced System Analyst with deep domain expertise in Group Wholesale Banking (Financing Solutions, Trade Services, Cash & Liquidity Management and Treasury), including Retail and Global Markets products. The ideal candidate will serve as a techno-functional leader in the Data Domain, driving strategic alignment, solution relevance, and business-technology integration.

Understanding the business context of Wholesale Banking is essential to:

• Design and deliver data solutions aligned with business priorities

• Translate complex banking requirements into scalable data architectures

• Strengthen collaboration with business stakeholders and product teams

• Drive innovation and value creation through data-driven insights

Key Responsibilities:

• Engage with business stakeholders to gather, analyze, and decompose requirements across Wholesale Banking, Retail, and Global Markets domains

• Translate business requirements into functional and technical specifications for data solutions

• Design and validate data models including Teradata FSDM, Dimensional Models, and Reporting Tables

• Perform data profiling and write query scripts for analysis and testing

• Map data attributes from key product systems such as:

• Silver Lake Core Banking

• FITAS Trade Finance

• Murex - Treasury

• SAP GL

• Author detailed documentation including Functional Specifications, Solution Designs, and Training Manuals

• Develop and execute test strategies and scripts for data validation and solution integrity

• Collaborate with data architects, engineers, and business teams to ensure solution alignment and delivery

• Provide insights and recommendations based on data analysis to support strategic decision-making

Required Qualifications:

• Proven experience as a Functional BA and/or System Analyst in the banking domain, preferably within Wholesale Banking

• Strong techno-functional expertise in data architecture and business analysis

• Deep understanding of Wholesale Banking products and services

• Functional domain knowledge on Regulatory Compliance Framework, AML/CFT/Sanctions, Fraud Risk Management and Compliance in Business Operations

• Proficient in data profiling, SQL scripting, and data validation techniques

• Expertise in designing and implementing data models for enterprise-scale solutions

• Familiarity with core banking and financial systems listed above

• Strong analytical and problem-solving skills with the ability to manage large volumes of information

• Excellent communication and stakeholder engagement skills

Preferred Qualifications:

• Experience in data governance, data quality, and metadata management

• Knowledge of regulatory and compliance requirements in banking

• Exposure to Agile methodologies and enterprise data platforms

• Certifications in Business Analysis, Data Management, or related fields (e.g., CBAP, DAMA)

Essential Technical Skills

• Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns
• PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization
• Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration
• Data Modelling: Experience implementing data models including dimensional modeling, data vault, or lakehouse architectures
• Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques
• Python: Strong Python programming skills for data processing and automation

Additional Technical Skills

SQL proficiency for data querying and transformation

• Experience with cloud platforms (Azure, AWS, or GCP)
• Understanding of data governance and security best practices
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)
• Understanding of data quality frameworks and testing methodologies

Professional Experience

• Minimum 8 years in data engineering or related roles
• At least 2-3 years of hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments

Required Certifications

• Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional

Additional Certifications (Preferred)

• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications

Soft Skills

• Strong problem-solving and analytical thinking abilities
• Excellent communication skills to explain technical concepts clearly
• Ability to work collaboratively in cross-functional teams
• Self-motivated with strong attention to detail
• Adaptable to changing priorities and technologies
• Client-focused mindset with commitment to quality delivery

• Analysing stakeholder requirements, formulating design and development proposals to enhance the global markets technology efficiency and meets Front office expectations
• Delivering and supporting the Global markets platform (Murex), managing the quality of functional delivery and ensuring the implementation and deployment of the deliverables.
• Perform various levels of testing for assigned deliverables as well as participate in formal release cycles (SIT/UAT)
• Contributing and assist existing support parties in resolving requests or issues with Front Office, P&L, Market Data, and booking issues
• Interacting with stakeholders to develop practical domain roadmaps to move the enterprise towards the future state vision, while taking into account business, technical and delivery constraints
• Communicating the principles, standards, vision and roadmaps to stakeholders and proactively addressing any questions / concerns identified
• Acting as a trusted advisor to stakeholders in both business and IT to assist in defining and delivering high quality solutions

• BS or higher degree in Economics, Finance or equivalent science oriented track
• Knowledge of most common traded financial instruments is a MUST
• Must be detailed-oriented, a quick learner, and a self-starter
• 7+ years’ experience as a Front office / Product control system/business analyst or consultant in a leading trading platform.
• Previous experience with a flagship Trading system (ideally Murex) is an advantage
• Previous experience in delivering projects in financial services – preferable Investment banking and Risk
• Solid experience in gathering and writing requirements and functional specifications in a project framework

• Analysing stakeholder requirements, formulating design and development proposals to enhance the global markets technology efficiency and meets Front office expectations
• Delivering and supporting the Global markets platform (Murex), managing the quality of functional delivery and ensuring the implementation and deployment of the deliverables.
• Perform various levels of testing for assigned deliverables as well as participate in formal release cycles (SIT/UAT)
• Contributing and assist existing support parties in resolving requests or issues with Front Office, P&L, Market Data, and booking issues
• Interacting with stakeholders to develop practical domain roadmaps to move the enterprise towards the future state vision, while taking into account business, technical and delivery constraints
• Communicating the principles, standards, vision and roadmaps to stakeholders and proactively addressing any questions / concerns identified
• Acting as a trusted advisor to stakeholders in both business and IT to assist in defining and delivering high quality solutions

• BS or higher degree in Economics, Finance or equivalent science oriented track
• Knowledge of most common traded financial instruments is a MUST
• Must be detailed-oriented, a quick learner, and a self-starter
• 7+ years’ experience as a Front office / Product control system/business analyst or consultant in a leading trading platform.
• Previous experience with a flagship Trading system (ideally Murex) is an advantage
• Previous experience in delivering projects in financial services – preferable Investment banking and Risk
• Solid experience in gathering and writing requirements and functional specifications in a project framework

Role:

• We are looking for a Power BI Developer with Python experience to design dashboards and analytics solutions that help business teams understand data and make informed decisions.
• In this role, you will work closely with data engineers, analysts, and business stakeholders to transform enterprise data into clear, reliable insights.
• You will build reporting solutions using Power BI and Python-based data processing workflows, helping teams track performance and make data-driven decisions.

Responsibilities:

• Design and develop Power BI dashboards and reports for business stakeholders.
• Build DAX calculations and measures to support data analysis and reporting logic.
• Use SQL and Python to extract, process, and prepare data for reporting.
• Work with data engineers and analysts to ensure datasets are accurate and analytics ready.
• Improve dashboards to ensure they run efficiently and are easy to use.
• Troubleshoot and resolve issues in Power BI reports, datasets, and reporting pipelines.

• Hands-on experience building Power BI dashboards and reports.
• Experience writing DAX calculations and measures.
• Experience using SQL to query and extract data.
• Working knowledge of Python for data processing or analytics workflows.
• Understanding of data modelling and data visualisation principles.
• Experience collaborating with data teams or business stakeholders.

·        Plan technical deliverables (including any system enhancements and upgrades) to meet

·        project’s requirements within allocated budget and schedule.

·        Plan & collaborate across different application teams to manage technical dependencies of the solution

·        Plan, monitor and manage risks/issues related to technical delivery

·        Provide status update related to technical delivery to Project Manager (PM)

·        Partner with System Analysts and Business Solution Specialist to collate, understand and finalize functional and technical requirements

·        Partner with Architects and Development Lead to ensure solution design complies with enterprise design principles, security and control standards

·        Partner with Development Manager in managing application teams to build the enhancements

·        Partner with Test Manager to ensure completion of System Integration Testing (SIT), User Acceptance Testing (UAT), performance / load testing and application security testing with quality results

·        Manage technical implementation plan across application teams - coordinate technical implementation activities across application teams to ensure non-event production cutover and adequate post implementation support

·        Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions

·        Strong technical knowledge

·        Good business domain knowledge in at least one area (e.g. Retail and Corporate Loans Origination)

·        More than 7 years track record in developing and delivering global/regional IT capabilities for a multi-national/regional company with annual budgetary responsibility

·        More than 3 years leadership experience in managing IT delivery teams

·        Experience in communicating with technical stakeholders

·        Experience in banking industry preferred

·        Experience in implementing large-scale, highly available applications or other large project implementation

·        Experience in service-oriented technologies

·        Proven result-oriented person with a focus on delivery

·        Experience in actual systems development work, with prior coding, functional specifications and technical specifications and systems development and testing experience (in aggregate no less than 8 years)

·        Good understanding and experience in software development cycle

·        Highly effective communicating with technical stakeholders, proficient communicating with non- technical stakeholders

·        Good problem solving, analytical, synthesis, system thinking and solutioning skills

We are looking for a As400 Developer with 5+ Yrs of experience to join our client in Kuala Lumpur, Malaysia.

Employment Benefits:

• Employment visa fully sponsored by the company

• Two weeks of free accommodation upon arrival

• Dependent visa support

• Annual leave and medical leave as per company policy

• Medical insurance provided

Hiring Certified Microsoft CRM Consultant | Malaysia (Kuala Lumpur)

 We are looking for a Certified Microsoft CRM Consultant with 6 Yrs to 10+ Yrs of experience to join our client in Kuala Lumpur, Malaysia.

Employment Benefits:
• Employment visa fully sponsored by the company
• Two weeks of free accommodation upon arrival
• Hybrid work mode
• Dependent visa support
• Annual leave and medical leave as per company policy
• Opportunity to relocate to Singapore after 2 years
• Medical insurance provided

Job Summary:
We are seeking a skilled ML Ops / AI Integration Engineer to build, integrate, and manage Generative AI and Agentic AI solutions within enterprise environments. The ideal candidate will work closely with data scientists, architects, and DevOps teams to design, deploy, and optimize AI pipelines, ensuring scalable, secure, and reliable AI systems. This role focuses on automation, cloud integration, and production deployment of AI models.

Key Responsibilities

• Develop and maintain automation scripts using Linux shell scripting, Python, and other automation tools.
• Ensure seamless deployment and integration between cloud and on-premise environments (AWS).
• Integrate AI and machine learning models into production environments using containerized platforms such as OpenShift.
• Implement and maintain network security protocols to protect AI systems and data pipelines.
• Collaborate with data scientists, DevOps engineers, and architects to translate AI workflows into scalable engineering solutions.
• Monitor, maintain, and optimize system performance, reliability, and scalability.
• Support and maintain CI/CD pipelines for AI model deployment and continuous updates.
• Implement logging, monitoring, and observability frameworks to ensure system stability.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in Machine Learning Engineering, MLOps, or AI system integration.
• Strong experience with Bash and Unix/Linux command-line tools.
• Hands-on experience with OpenShift, Docker, and Kubernetes.
• Experience with cloud platforms such as AWS.
• Knowledge of network security and compliance practices related to AI systems.
• Experience with API integrations and microservices architecture.
• Proficiency in Python for automation and machine learning related tasks.
• Experience with workflow orchestration tools such as Ctrl-M.
• Good knowledge of logging and monitoring tools such as Splunk and Geneos.
• Experience with observability frameworks such as Langfuse, Elastic Stack, Grafana, and OpenTelemetry.
• Understanding of Generative AI concepts such as prompt engineering, RAG pipelines, and Agentic AI frameworks.

Job Summary:
We are seeking a skilled ML Ops / AI Integration Engineer to build, integrate, and manage Generative AI and Agentic AI solutions within enterprise environments. The ideal candidate will work closely with data scientists, architects, and DevOps teams to design, deploy, and optimize AI pipelines, ensuring scalable, secure, and reliable AI systems. This role focuses on automation, cloud integration, and production deployment of AI models.

Key Responsibilities

• Develop and maintain automation scripts using Linux shell scripting, Python, and other automation tools.
• Ensure seamless deployment and integration between cloud and on-premise environments (AWS).
• Integrate AI and machine learning models into production environments using containerized platforms such as OpenShift.
• Implement and maintain network security protocols to protect AI systems and data pipelines.
• Collaborate with data scientists, DevOps engineers, and architects to translate AI workflows into scalable engineering solutions.
• Monitor, maintain, and optimize system performance, reliability, and scalability.
• Support and maintain CI/CD pipelines for AI model deployment and continuous updates.
• Implement logging, monitoring, and observability frameworks to ensure system stability.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in Machine Learning Engineering, MLOps, or AI system integration.
• Strong experience with Bash and Unix/Linux command-line tools.
• Hands-on experience with OpenShift, Docker, and Kubernetes.
• Experience with cloud platforms such as AWS.
• Knowledge of network security and compliance practices related to AI systems.
• Experience with API integrations and microservices architecture.
• Proficiency in Python for automation and machine learning related tasks.
• Experience with workflow orchestration tools such as Ctrl-M.
• Good knowledge of logging and monitoring tools such as Splunk and Geneos.
• Experience with observability frameworks such as Langfuse, Elastic Stack, Grafana, and OpenTelemetry.
• Understanding of Generative AI concepts such as prompt engineering, RAG pipelines, and Agentic AI frameworks.