Total 28 payroll analyst job vacancies in Information Technology category

• 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.

http://www.pasona.com.sg/privacy.html

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

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain.

We are currently looking to hire Epic Application Analyst. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB DESCRIPTION

I. Role and Responsibilities

• Provide on-going application support and be involved in various stages of the SDLC

• Conduct user requirement gathering for new systems and/or enhancements to existing systems/solutions

• Conduct user requirement analysis for the development / implementation of new systems and enhancements to existing systems

• Perform documentation of requirements and new process/workflows for the developed solutions

• Perform functional analysis of new systems and enhancements to existing systems

• Involvement in the various testing phases prior to implementation, including but not limited to developing test plans and cases, conducting testing and verifying test results and following up on issues to resolution

• Plan and coordinate end-user training for any system implementations or enhancements

• Liaise closely with business users and build good rapport particularly in the area of defining IT processes, organizations and workflow relationships to complement the solution

• Support the team in defining project requirements, tracking and documentation of project progress with respect to time, resources, budget and demonstrated results

• Identify, facilitate and ensure cross functional resource support for projects.

• Provide 24/7 primary application maintenance support

• Participate and support Request for Proposal (RFP) for projects with the Manager.

II. Requirements

• Minimum 3 years of experience in developing, implementing and maintaining IT systems

• Successful track record in project management, user and vendor management

• Experience in MS Windows environment & application support

• Experience in Database management systems (SQL, Oracle)

• Strong analytical skills and ability to work independently

• Experience in healthcare industry is an added advantage

• Degree in Computer Science, Computer Engineering or equivalent

Overview

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to deepa@aven-sys.com. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Deepa Shivakoti
Reg No: R1765546
Avensys Consulting Pte Ltd
EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

• Application Support & Incident Management

• Level 1.5 / 2 Support

• Stakeholder & Vendor Coordination

Responsibilities

• Manage and resolve application incidents, service requests, and system issues within SLA timelines.

• Monitor application performance, interfaces, and batch jobs to ensure stable operation.

• Perform SQL queries and data analysis for troubleshooting and investigation.

• Support application deployments, system changes, and post-release validation.

• Collaborate with stakeholders and vendors for issue resolution and enhancements.

• Maintain documentation, user access, and support compliance activities.

Requirements

• Possess a Degree / Diploma in Computer Science / IT or equivalent

• 2–5 years of experience in application support, IT operations, or production support environments.

• Knowledge of application architecture, APIs, system integrations, and batch processing.

• Experience with ticketing and monitoring tools such as ServiceNow or Jira.

• Proficiency in SQL for troubleshooting and data analysis.

• Strong analytical, problem-solving, and root cause analysis skills.

• Good communication and stakeholder management abilities.

• Able to work independently and collaboratively within a team environment.

• Able to provide night support 2 - 3 times in a month (based on roster)

To apply please click on the APPLY NOW button or email your resume for faster processing:

We regret only shortlisted candidates will be notified. By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Yoong Poh Feng

EA License | 14C7092

EA Registration Number | R1105076

Reports To: Executive Chairman

Location: Singapore / Hybrid

About the Responsible FintechInstitute

The Responsible Fintech Institute is dedicated to advancing theconvergence of traditional finance (TradFi) and decentralized finance (DeFi)through regulated, compliance-centric infrastructure. We champion the"Finternet" strategy, advocating for responsible innovation,Real-World Asset (RWA) tokenization, and the safe deployment of emergingtechnologies like Agentic AI. A core part of our mission involves bridging thegap between digital asset platforms, regulatory bodies, and law enforcement tobuild a trusted global financial ecosystem.

Role Overview

This is a unique, accelerated-growth opportunity designed for ahigh-calibre early-career professional or an exceptional fresh graduate.Operating as a strategic right-hand and operational partner to the ExecutiveChairman, you will gain a front-row seat to executive decision-making and theglobal digital economy. This role requires a highly analytical, high-agencyindividual who is as comfortable managing complex strategic projects as theyare executing the day-to-day administrative and digital operations that keepthe Institute running. You will wear many hats—from driving high-priorityinitiatives and managing technical tools to owning our public communicationsand internal administration.

Key Responsibilities

Strategic Execution & Advisory

• Drive Core Initiatives: Support and track the progress of key Institute frameworks and concept papers, particularly those focusing on sovereign infrastructure architectures, compliant stablecoins, and RWA tokenization.
• Research & Executive Briefing: Conduct deep-dive research into Industry 4.0, Agentic AI, and global regulatory shifts, synthesizing complex findings into concise, actionable briefing materials for the Executive Chairman.
• Strategic Alignment: Act as an active sounding board and analytical partner, helping ensure that Institute projects align with the Finternet manifesto and compliance-first design principles.

Digital Product & ProjectManagement

• Project Coordination: Manage and support the end-to-end development cycles for proprietary digital utilities, platforms, and technical solutions designed by RFI.
• Cross-Functional Execution: Serve as the connective tissue between technical development teams, compliance experts, and external partners, ensuring clear documentation and smooth communication.
• Lifecycle Tracking: Monitor milestones, manage resource allocation, and proactively clear operational bottlenecks from the initial scoping phases through to beta testing and market launch.

Communications & EcosystemManagement

• Digital Presence & Content: Take ownership of the RFI website and social media channels. Maintain, update, and generate content that amplifies our strategic narrative, announces key initiatives, and engages our global audience of industry stakeholders.
• Ecosystem Engagement: Help manage communications and relationships with a high-level network of Executive Fellows, academic partners, international advisors, and joint venture collaborators.
• Bridge Law Enforcement & Crypto: Support the logistical and strategic coordination of dialogues, roundtables, and policy working groups connecting digital asset platforms with regulators.
• Executive Drafting: Prepare primary drafts for talking points, diplomatic correspondence, and strategic narratives for the Executive Chairman's engagements at international summits.

Operations & Administration

• Core Administration & Payroll: Manage the day-to-day administrative backbone of the Institute, including processing payroll, tracking expenses, and ensuring fundamental business operations run smoothly.
• Workflow Optimization: Streamline internal workflows by liaising with corporate service providers, PR teams, and accounting partners to ensure seamless operational compliance and efficiency.
• Event & Program Support: Assist in the operational planning and execution of global initiatives, including the Institute's flagship digital assets summits and executive training programs.
• Executive Leverage: Proactively manage the Executive Chairman’s schedule and commitments, anticipating needs and ensuring leadership focus remains on high-leverage activities.

Qualifications

• Experience: 0–3 years of professional experience. Backgrounds in management consulting, corporate strategy, technical project management, or high-growth startups are highly advantageous. Exceptional fresh graduates with strong internship pedigrees will be strongly considered.
• Education: Strong academic track record with a degree in Business, Economics, Computer Science, Engineering, Law, or a related discipline from a top-tier institution.
• Capabilities: Outstanding analytical horsepower. You possess the ability to deconstruct complex, ambiguous problems and build structured, logical solutions.
• Digital & Content Savvy: Experience with (or a strong willingness to learn) website content management systems (e.g., WordPress) and professional social media management (e.g., LinkedIn, X).
• Project & Admin Mindset: Strong organizational skills with a practical understanding of project management principles, a keen interest in digital product development, and the meticulousness required for administrative and payroll duties.
• Communication: Sharp, precise written and verbal communication skills. You can distill dense, complex information into clear, executive-ready insights.
• Mindset: High agency, adaptable, and self-directed. You are a rapid learner who thrives in a fast-paced environment and leaves their ego at the door, ready to take ownership of both high-level strategy and essential operational tasks.