Total 408 analyst job vacancies in Information Technology category in Singapore

JOB DESCRIPTION :

1. Perform various types of testing including functional testing, API testing, and/or usability testing for assigned projects or products. 
2. Support and participate in performance testing and test automation testing activities. 
3. Perform testing activities, including test case design, test procedure preparation, test data creation, and test execution. 
4. Identify and document defects discovered during testing through Test Incident Reports 
5. Track and follow up on reported defects to ensure timely resolution, closure, or proper mitigation. 
6. Provide regular status updates and reports to the manager on testing progress, issues, risks, and overall quality status of assigned projects or products. 
7. Prepare and maintain testing deliverables in accordance with established standards, best practices, and audit or compliance requirements. 
8. Collaborate with developers, business analysts, and other stakeholders to clarify requirements, reproduce issues, and improve overall product quality. 
9. Perform other duties and responsibilities as assigned by the company from time to time. 

JOB REQUIREMENT :

1. Candidate must possess at least a Bachelor’s Degree in Computer Science or Information Technology, or a related field, and/or relevant professional certifications. 
2. Minimum 2 years of working experience in software testing/ quality assurance or related field. 
3. Good understanding of the software testing lifecycle and structured testing processes. 
4. Strong analytical and problem-solving skills, with good presentation skills and a high level of written and verbal communication in both English and Bahasa Malaysia. 
5. Basic understanding of programming languages, networking, or system infrastructure will be an added advantage. 

Perks & Benefits

• Personal leave
• Open culture
• Personal development opportunities

JOB DESCRIPTION :

1. Perform various types of testing including functional testing, API testing, and/or usability testing for assigned projects or products. 
2. Support and participate in performance testing and test automation testing activities. 
3. Perform testing activities, including test case design, test procedure preparation, test data creation, and test execution. 
4. Identify and document defects discovered during testing through Test Incident Reports 
5. Track and follow up on reported defects to ensure timely resolution, closure, or proper mitigation. 
6. Provide regular status updates and reports to the manager on testing progress, issues, risks, and overall quality status of assigned projects or products. 
7. Prepare and maintain testing deliverables in accordance with established standards, best practices, and audit or compliance requirements. 
8. Collaborate with developers, business analysts, and other stakeholders to clarify requirements, reproduce issues, and improve overall product quality. 
9. Perform other duties and responsibilities as assigned by the company from time to time. 

JOB REQUIREMENT :

1. Candidate must possess at least a Bachelor’s Degree in Computer Science or Information Technology, or a related field, and/or relevant professional certifications. 
2. Minimum 2 years of working experience in software testing/ quality assurance or related field. 
3. Good understanding of the software testing lifecycle and structured testing processes. 
4. Strong analytical and problem-solving skills, with good presentation skills and a high level of written and verbal communication in both English and Bahasa Malaysia. 
5. Basic understanding of programming languages, networking, or system infrastructure will be an added advantage. 

Perks & Benefits

• Personal leave
• Open culture
• Personal development opportunities

職位說明 ：

1. 對指派的項目或產品執行各種類型的測試，包括功能測試、API 測試和/或可用性測試。
2. 支援並參與性能測試和自動化測試活動。
3. 執行測試活動，包括測試案例設計、測試程式準備、測試資料建立和測試執行。
4. 透過測試事件報告識別並記錄測試過程中發現的缺陷
5. 追蹤並跟進已報告的缺陷，以確保及時解決、關閉或採取適當的緩解措施。
6. 定期向經理報告所分配專案或產品的測試進度、問題、風險和整體品質狀況。
7. 根據既定標準、最佳實踐以及審計或合規要求，準備和維護測試交付物。
8. 與開發人員、業務分析師和其他利害關係人合作，以明確需求、重現問題並提高整體產品品質。
9. 依公司安排，履行其他職責。

職位要求：

1. 候選人必須至少擁有電腦科學或資訊科技或相關領域的學士學位，和/或相關的專業認證。
2. 至少2年軟體測試/品質保證或相關領域的工作經驗。
3. 對軟體測試生命週期和結構化測試流程有深入的了解。
4. 具備較強的分析和解決問題的能力，良好的表達能力，以及較高的英語和馬來語書面和口頭溝通能力。
5. 對程式語言、網路或系統基礎設施有基本了解者優先考慮。

福利待遇

• 個人休假
• 開放文化
• 個人發展機會

• Design, develop, and maintain scalable trading applications.
• Work across the full stack, including backend services and frontend interfaces.
• Analyze business requirements and translate them into technical solutions.
• Ensure high performance, reliability, and security of applications.
• Troubleshoot and resolve production issues in a timely manner.
• Collaborate with cross-functional teams including QA, DevOps, and business stakeholders.
• Participate in code reviews and contribute to best practices.

Skills / Requirements

• 7+ years of Strong experience in Java development (Java 8 or above).
• Proficiency in full stack development (Spring Boot, Microservices, AWS, CI/CD, REST APIs, and modern frontend frameworks such as Angular or React).
• Experience working with trading or financial applications is highly preferred.
• Solid understanding of databases (SQL/NoSQL).
• Familiarity with microservices architecture and cloud environments is a plus.
• Ability to work independently with minimal supervision.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.

Interested candidates, who wish to apply for the above position, please send in your resume to: sasi.indurthi@persolapac.com

PERSOL Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R1331594 (Sasi Indurthi Venkata)

We regret to inform you that only shortlisted candidates will be contacted.

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Job Focus:

We are looking for a System Analyst to support the enhancement and maintenance of internal systems. Reporting to the Head of IT, this role is responsible for customizing enhancing internal systems to support evolving business needs.

Job Responsibilities:

• Analyse, design, develop, test, and implement system enhancements and applications
• Work closely with cross-functional stakeholders to gather requirements and understand user needs for system changes
• Prepare detailed documentation, including requirements, process flows, and technical specifications
• Design and implement modifications to existing systems, ensuring smooth integration and adherence to best practices
• Support in-house applications and provide post-implementation support, including user guidance during system transitions

Job Requirements:

• Diploma or Bachelor’s Degree in Computer Science, Information Systems, or a related field
• Min 3 years of experience in software development, preferably in Microsoft .NET (C#,VB.NET, MVC) and SQL
• Strong analytical, problem-solving, and project management skills
• Good communication skills with the ability to collaborate effectively and work under pressure to meet deadlines

Thank you for your interest in this role. Please note that only shortlisted candidates will be contacted.

Registration No. R1985319

EA License No. 25C2698

Job Objective:

Analyze and translate business, regulatory, and analytics requirements into scalable data and solution designs. Drive effective stakeholder communication, effort estimation, and validation processes, while enabling data architectures and curation strategies that support reporting, analytics, and AI/NLP-driven use cases.

Responsibilities:

• Perform detailed effort estimation for projects and change requests.
• Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner
• Review and approve test strategies, functional test cases, and data validation approaches.
• Translate business and compliance requirements into NLPenabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents
• Translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases

Requirements:

• Experience in analyzing business and regulatory requirements and translate them into scalable solution designs.
• Ability to review and approve test strategies, functional test cases, and data validation approaches.
• Ability to design data architectures supporting NLP and AIdriven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms. 
• Strong understanding of data architecture principles and data modelling techniques for designing scalable and efficient data solutions.
• Experience in supporting AI and NLP use cases through data preparation, integration, and optimisation of data pipelines.
• Proficiency in testing, data validation, and quality assurance processes to ensure data accuracy, consistency, and reliability.
• Excellent stakeholder management and communication skills, with the ability to gather requirements and translate business needs into technical solutions.

Responsibilities:

• Lead and participate in end-to-end projects for system implementation of MLS system
• Engage and collaborate with Architects, Security and Development Lead to ensure solution design complies with enterprise design principles, security and control standards
• Liaise with application teams across group and countries build the enhancements according to the technical solution plan
• Analyse user requirements and convert requirements to design document and other system documentation to capture key design decisions
• Plan technical deliverables, perform design and development works to meet project’s requirements within schedule
• Perform data mapping and process mapping with interfacing applications
• Escalate issues that impacts project schedule on timely basis and propose workarounds/resolution
• Create technical documents for the solutions. Compile timely, comprehensive, and accurate documentation as requested
• Test, maintain and recommend software improvements to ensure strong functionality and optimization
• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing
• Partner with Test Management teams to ensure completion of SIT, UAT, performance / load testing and application security testing with quality result
• Liaise with other application teams and business users to prepare test cases and test data prior to testing in UAT and Mock Run environment
• Manage project change request approval windows and deployment schedule
• Facilitate and provide technical and testing support before and after production deployment
• Liaise with other units across IT and Business in the organization
• Manage external vendors for project delivery within schedule

Requirements:
Must Have

·  10+ years of IT experience, with strong background in system integration, application development, and enterprise architecture

·  Proficiency in Unix/Linux, shell scripting, SQL, and either Java or Python

·   Solid experience with CI/CD pipelines(GitHub/GitLab/Bitbucket/Jenkins/Aldon)

·    Strong experience in data mapping, process mapping, and technical documentation

·   Experience in production incident/problem management

·   Ability to multitask effectively and handle large amounts of data

·   Highly driven, pro-active and a strong team player

Excellent interpersonal, communication and stakeholder engagement

Good to Have

·   Experience in network and security experience to resolve firewall connection issue, integration issue, load balancing and disaster recovery needs

·   Knowledge of compliance systems, MLS platforms, or risk monitoring applications

·   Experience with NoSQL / big data (Hadoop ecosystem preferred)

·   Understanding of networking, firewalls, load balancing, DR planning

·    Familiarity with Control‑M, JIRA, SharePoint, Confluence

Key Domain/ Technical Skills
·   Experience in Compliance

·   Experience in AI Machine Learning

·   Experience in Application Development, Code Deployment, System Implementation and Integration

The Data Analyst will be a critical part of our team, responsible for transforming complex data into actionable insights that drive business decisions. The role is expected to leverage analytical expertise to design and produce comprehensive dashboards and reports, identify data quality issues proactively, and communicate findings clearly to diverse stakeholders. This role requires a strong blend of technical skills, business acumen, and an ability to translate data into compelling narratives.

This position offers growth opportunities in:

·      Developing expertise in advanced analytics techniques and business intelligence tools

·      Building strong relationships with stakeholders across different business units

·      Contributing to data-driven decision making that impacts commercial outcomes

·      Expanding technical skills in emerging areas like AI/ML applications and automation

Essential Duties and Responsibilities:

Dashboard & Report Development

·       Independently define complex business problems from a technical and analytical perspective.

·       Support business requirements gathering by participating in stakeholder meetings and translating business needs into technical specifications

·       Contribute to the development of analytical frameworks and methodologies under guidance from senior analysts

·       Align business requirements with stakeholders, define key metrics, and develop comprehensive business intelligence solutions (e.g., interactive dashboards and detailed reports) to fulfill requirements.

·       Build and maintain automated reporting solutions that deliver consistent, timely insights to business users

Data Communication & Presentation

·       Communicate and story tell results and insights to stakeholders effectively, driving understanding and action.

·       Create business insights proactively and share actionable recommendations with stakeholders, influencing strategy and operational improvements.

·       Prepare executive summaries and data narratives that highlight key findings and recommendations

·       Support senior team members in presenting complex analytical findings to leadership teams

Technical Implementation & Development

·       Individual Contributor – producing data analysis, calls, and requirements production (SQL, Python, Metabases, Power BI, etc.) while following established coding standards and best practices

·       Develop and maintain SQL queries, Python scripts, and other analytical tools to support regular reporting needs

·       Contribute to the improvement of existing analytical processes and tools through code optimization and documentation

·       Independently plan and develop data product features & solutions with minimal direction, demonstrating strong ownership and problem-solving.

Customer Journey & Behavioral Analytics

·       Quantify the end-to-end customer journey using advanced analytical techniques to increase conversion and engagement, providing data-backed recommendations.

·       Analyze user behavior patterns, conversion funnels, and customer segmentation to identify opportunities for improvement

Project Coordination & Delivery

·       Act as a key point of contact for specific markets or business units to plan and organize all data-related intakes and project pipelines.

·       Track project progress and communicate updates to stakeholders according to established timelines

·       Coordinate effectively with data engineering, development, and product teams to define data requirements, advocate for necessary tooling, and ensure data availability for robust analytics & insights.

·       Produce sophisticated dashboards, reports, and analytics independently.

·       Proactively understand, ensure, and govern data quality across various datasets.

·       Troubleshoot complex data quality issues, identifying root causes and proposing robust, scalable improvement suggestions.

Cross-Team Collaboration

·       Clearly communicate business requirements and analytical insights to stakeholders, defining scope, deliverables, and potential impacts.

·       Proactively define project workstreams and data solutions by directly collaborating with other teams.

·       Define problems and propose solutions based on experience and active listening.

·       Participate in technical discussions and provide analytical perspective on data requirements and system capabilities.

Data Quality Management & Monitoring

·       Monitor data quality metrics and alert senior team members to potential issues requiring investigation

·       Contribute to data quality improvement initiatives by identifying patterns and suggesting process enhancements.

·       Escalate critical data issues to appropriate team members while providing detailed analysis of impact and potential solutions.

Key Responsibilities:

· Develop, maintain, and support SAS ETL pipelines and workflows.

· Design and implement credit risk and behavioral scoring solutions.

· Build and validate statistical models using Logistic Regression and scorecard techniques.

· Perform data quality assessments, variable selection, and model validation.

· Support SAS AML implementations and transaction monitoring solutions.

· Create automated reports and dashboards using SAS Visual Analytics.

· Collaborate with business, risk, and technology teams.

· Manage code deployment and production support using Git, Jenkins, and Control-M.

Technical Skills:

· SAS Base, SAS Macro, SAS Viya, SAS Model Studio, SAS Intelligent Decisioning, SAS AML, SQL,

· Python, Shell Scripting, Git, Jenkins, BMC Control-M, Linux, Tableau, Power BI, SAS Visual

· Analytics, Excel VBA.

· Industry Experience

· Banking & Financial Services, Credit Risk Management, Anti-Money Laundering (AML), Data

· Analytics and Reporting.

Industry Experience

Banking & Financial Services, Credit Risk Management, Anti-Money Laundering (AML), Data Analytics and Reporting.

about the company.

An established financial services technology organization that specializes in delivering progressive digital solutions within a collaborative and supportive corporate environment.

about the job.

An exciting opportunity has arisen for a technical specialist to join a dedicated team in ensuring the seamless performance and reliability of enterprise software applications.

• Troubleshoot and resolve system queries for corporate users to minimize operational downtime.

• Coordinate platform updates, mobile application maintenance, and the deployment of software patches.

• Record detailed entries of system incidents, user interactions, and technical updates for escalated support tiers.

• Review technical manuals and participate in internal focus groups to continually expand product systems knowledge.

• Formulate operational documentation and procedural guides to streamline troubleshooting workflows for end-users.

skills and experience required.

• Academic qualification in computer science, information technology, or an equivalent engineering discipline.

• Practical knowledge or exposure within the fintech, financial payments, or digital assets domain.

• Basic familiarity with web development or object-oriented programming concepts.

• Clear communication and interpersonal capabilities to engage effectively with business users and internal stakeholders.

• Flexibility to support business continuity plans by working on a rotating twenty-four-seven shift roster.

Please click on the 'apply' button to apply online. For more information, please reach out to Amir Hamzah. (EA: 94C3609 / R1984348)

The intern will be attached to the Fleet Digital section and will support the team in the following activities: 

• Extract and analyze sets of data from multiple sources and database for Harbour Launch, Tugs and Crew Deployment; develop and test hypothesis and communicate with section managers recommendations. 

• Identify and interpret trends or patterns in the collected data sets. 

• Detect anomalies, spot discrepancies and possible defects from our Fleet Management System 

• Produce insights on operations data using analytic tools (Python/Excel/Power BI) 

• Design, develop and maintain ongoing reports and dashboards. 

• Take in the lead in digitalization projects by working with key stakeholders within and outside of organization. 

• Perform any other ad-hocs duties as assigned. 

Preferred Skills

• Proficiency in Python Programming Language and Excel VBA 

• Experience in UI/UX designing and able to develop dashboard with data visualization tools (Example: Power BI and Tableau) 

• Analytical mindset driven to understand machinery and operation data 

• Strong organizational and problem-solving skills 

• Commitment to learning including new analytical methods and Harbour Craft profile 

• Ability to identify data-driven insights and trends from large data sets, keeping in mind of data quality and accuracy 

• Able to develop Robotics Process Automation (RPA) – UiPath would be a plus. 

Data Analytics

• Spearhead the design and execution of end-to-end data analytics strategies.
• Develop and manage automated data pipelines and ETL workflows.
• Perform data cleaning, preprocessing, and validation to maintain high data accuracy and integrity.
• Utilize advanced statistical and data mining techniques to analyze extensive healthcare datasets.
• Build and maintain interactive dashboards with user-friendly visualizations tailored for non-technical stakeholders.
• Deliver in-depth analytics to support clinical research and quality improvement projects, especially in areas like chronic disease management (e.g., diabetes, kidney disease, asthma).
• Create predictive models and deploy machine learning solutions, including large language models (LLMs).
• Collaborate with clinical teams to integrate Patient-Reported Outcome Measures (PROMs) into existing care processes.
• Work closely with GTO and AIO teams to improve data visibility and accessibility.
• Design and apply LLM-based solutions to streamline and optimize patient care pathways.

Data Quality & Monitoring

• Conduct regular validation to ensure the integrity and consistency of datasets.
• Detect and interpret key trends, patterns, and insights from healthcare data.
• Establish and maintain robust data quality assurance and validation protocols.
• Generate and present clear, data-driven reports and visualizations to stakeholders.
• Ensure all data visualizations are user-centric and accessible to non-technical users.
• Liaise with cross-functional teams to gather and address their specific data requirements.

Data Governance & Protection

• Implement stringent data security policies and access controls.
• Supervise data standardization and quality management initiatives.
• Ensure adherence to data privacy laws such as PDPA and HBRA.
• Develop secure protocols for safe data exchange and collaborative access.
• Promote ethical AI usage and ensure responsible deployment of LLM technologies.

Key Requirements

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Statistics)
• Minimum of 2 years’ experience in healthcare analytics or a similar field.
• Strong programming skills in Python, R, and SQL.
• Hands-on experience with data visualization platforms such as Tableau, Power BI, or TIBCO Spotfire.
• Proficiency with cloud analytics environments, especially Databricks.
• Solid foundation in statistical methods, including predictive modeling, A/B testing, and time-series analysis.
• Skilled in deploying and fine-tuning AI/ML models, including LLMs, within healthcare contexts.
• Experience working with cloud providers, particularly AWS.
• Familiarity with container technologies like Docker and Kubernetes.
• Experience using modern web frameworks such as Streamlit, NextJS, and TypeScript.
• Proficient in REST API development using frameworks like FastAPI.
• Understanding of database design, with hands-on experience using tools like SQLAlchemy.
• Capable of working with large and complex datasets.
• Proficient in using Git for version control and collaborative coding.
• Strong grasp of CI/CD pipelines and DevSecOps best practices.
• Knowledge of medical terminology and healthcare IT systems.
• Demonstrated ability to manage stakeholders and drive successful project outcomes.
• Excellent analytical thinking and problem-solving capabilities.
• Effective communicator with strong presentation, writing, and interpersonal skills.
• Highly detail-oriented, with a commitment to accurate data handling and analysis.
• Able to convert business challenges into technical data solutions.
• Team-oriented, proactive, and capable of thriving under time constraints.
• Comfortable working both independently and collaboratively in dynamic environments.

To apply, please visit www.gmprecruit.com

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

Job Summary

We are looking for a Data Analyst to drive end-to-end analytics for Anti-Financial Crime projects in a reputed bank . This role blends strong analytical and data science capabilities with compelling storytelling, documentation excellence, and stakeholder leadership. You will work extensively on Hadoop Big Data, design analytic workflows, build ML models (including unsupervised techniques), and translate insights into meaningful business impact.

Mandatory Skill-set

• Bachelor’s/Master’s in Data Science, Statistics, Computer Science, Mathematics, Economics, or related fields;
• Must have 3+ years in Data Analytics, including exposure in Banking/Financial Services;
• Must have hands-on experience with Qlik Sense and Big Data tools;
• Strong expertise in SQL, Python ( Pandas, NumPy, Scikit-learn ) and PySpark;
• Strong understanding of machine learning, including unsupervised models;
• Excellent communication, consulting, slide creation, and stakeholder storytelling skills.

Desired Skill-set

• Certifications in Data Science, Cloud Technologies, or AML/Compliance;
• Experience in customer segmentation, anomaly detection, and analytics for financial crime;
• Understanding of model risk and regulatory expectations for model governance.

Responsibilities

• Analyze and work with business units on reported issues/queries relating to compliance surveillance systems;
• Process and analyze data related to AML/CFT investigations;
• Tuning and optimization of compliance surveillance systems;
• Tuning and optimization of Machine Learning Models in Compliance;
• Participate in compliance projects for compliance surveillance systems support and support in processing analytics data;
• Demonstrate proactive learning and adaptability to stay informed about regulatory changes and advancements in compliance technology;
• Effectively manage time and prioritize tasks to meet deadlines while maintaining high-quality outputs.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA License No. 07C563

• AWS + Variable Bonus provided

• Permanent job

• Working location: Pioneer (Various pick up points at MRT station)
  

Our client are looking for a motivated junior-level professional to join their team and help drive data-led improvements across our operations. From developing machine learning models to collaborating with R&D, operations, and IT, you will play a key role in solving complex challenges and delivering tangible results.

Job duties:

1. Develop, validate, and deploy Machine Learning, Deep Learning, and Generative AI models for production environments

2. Analyze operational data and derive insights for decision-making and smooth operations

3. Partner with business stakeholders to gather requirements and define project objectives

4. Design and implement data pipelines for data preprocessing, model training, evaluation, and deployment

5. Perform data validation and support data quality improvement initiatives

6. Monitor, maintain, and improve models and analytical systems

7. Prepare clear reports and presentations to communicate findings and recommendations

8. Provide technical support and documentation for deployed solutions

9. Other tasks as assigned by the supervisor
   

Job Requirements:

• Bachelor’s Degree in Data Analytics/Data Science/Computer science/ Engineering fields

• Candidate with no working experiences but with good understanding about data analytics or machine learning are welcome to apply

• Proficiency in Python and standard data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, Keras)

• Fundamental understanding of machine learning and deep learning algorithms

• Working knowledge of SQL and relational databases (e.g., PostgreSQL, Oracle)

• Strong analytical and problem-solving skills

• Effective written and verbal communication skills

• Ability to work collaboratively in a structured, cross-functional corporate environment

• Demonstrated willingness to learn and adapt to new technologies

  
  

Interested applicants, please send your resume to Tiffany Koh (R1104633) with email subject header "Job Application for Data Scientist (Data Analyst) - TK " .

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

By submitting any resumes or applications to Pasona Singapore Pte Ltd, you are considered to have read and agreed on the terms of our Privacy Policy, and consented to us collecting, using, retaining, disclosing your personal information to the prospective employers for their consideration.

Please find our Privacy Policy Agreement from the below link.

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Thank you for your kind understanding and co-operation.

Pasona Singapore Pte Ltd

EA License No:90C4069

R1104633

Koh Jia Wen

Key Responsibilities

• Provide end to end SWIFT SME support for BAU, incidents, and changes.

• Own SWIFT infrastructure and application administration(Alliance Access / Gateway / AMH as applicable).

• Support SWIFT Alliance Cloud migration, cutover, and hypercare.

• Ensure compliance with SWIFT CSP controls, audits, and attestations.

• Coordinate with Infra, Security, Network, Vendors, and Business teams.

• Support future API based SWIFT initiatives and modernization roadmap.

• Maintain runbooks, SOPs, and operational documentation.

Detailed Job Description:

• Provide end to end SWIFT platform support covering BAU operations, incident management, and production stability.

• Act as the primary SWIFT subject matter expert for Alliance Access, Alliance Gateway, and associated components.

• Support the ongoing migration from on premise SWIFT infrastructure to SWIFT Alliance Cloud, including readiness checks, cutover activities, and post go live support.

• Ensure adherence to SWIFT CSP requirements and support all internal and external regulatory audits and attestations.

• Coordinate closely with infrastructure, security, network, compliance, vendors, and business stakeholders to manage changes and resolve issues.

• Support change and release management activities, including deployment planning and risk assessment.

• Participate in future SWIFT modernization initiatives, including API based SWIFT integration planned from 2027 onwards.

• Maintain and update operational documentation, SOPs, runbooks, and knowledge repositories.

• Hands on experience with Alliance Access, Alliance Gateway, SWIFTNet

• Experience in cloud or hybrid SWIFT deployments preferred