Your Mission

This position is responsible for designing and developing intelligent coordination strategies for large-scale robotic fleets operating in production environments. As a Robotics Software Engineer specializing in Fleet Management Algorithms, you will focus on optimization, scheduling, task allocation, routing, and simulation to enhance the operational efficiency, scalability, and robustness of autonomous mobile robot (AMR) systems. The role combines algorithm research, large-scale experimentation, and production system integration to address challenges in multi-agent coordination and multi-stage logistics operations, ultimately improving fleet performance and overall operational efficiency.

What To Expect

• Design and develop algorithms for robotic fleet management, including task assignment, scheduling, routing, and resource allocation.
• Develop strategies to improve multi-robot coordination, traffic management, and mission dispatching in dynamic operational environments.
• Build and maintain simulation and testing environments to evaluate fleet strategies and validate system performance.
• Analyze robot telemetry and operational data to identify system bottlenecks and drive continuous improvement.
• Develop scalable software components and services that integrate with robotic systems using modern communication frameworks.
• Collaborate with cross-functional teams to ensure the reliable deployment, integration, and operational performance of fleet management solutions.
• Document system designs and stay up to date with advancements in robotics, multi-agent systems, and logistics optimization.

What You'll Bring

• Master’s or Ph.D. degree in Computer Science, Robotics, Operations Research, Electrical Engineering, or a related field, with experience in robotics, optimization, or large-scale distributed systems.
• Strong background in algorithms, optimization, and operations research, including scheduling, routing, and graph-based methods.
• Proficiency in Python, C++, or C#, with experience developing scalable and maintainable software systems.
• Experience developing algorithms for multi-agent systems, path planning, robotic coordination, task allocation, or fleet management.
• Experience building simulation environments and experimentation frameworks to evaluate algorithm performance.
• Familiarity with real-time systems, control theory, and optimization methods.
• Familiarity with system integration technologies such as RESTful APIs, MQTT, and distributed service architectures.
• Strong data analysis skills, including analyzing robot telemetry, operational logs, and system performance metrics.
• Experience with large-scale optimization, logistics system design, or robotics middleware (e.g., ROS2).
• Experience working with robotic fleets or large-scale logistics/automation systems, including simulation and operational experimentation.
• Proven ability to translate research or algorithmic innovation into practical production systems; publications or research contributions are a plus.

About the client: Our client is a Reputed Bank.

Responsibilities:

• Configuring Murex modules and workflow to meet client requirements.
• Configure and troubleshoot Murex Front Office MLC for Credit Risk Analysis and Pre-trade Risk checks
• Liaise with stakeholder to gather business requirements and analyze to translate them to technical specification for solutioning
• Involve of all stages of Project life cycle, from business requirements gathering and technical definitions, Testing, User Acceptance Testing (UAT), Production Support, and completion.
• Led MXML post-trade troubleshooting, resolving STP breaks and ensuring seamless integration.
• Debugging SACCR reporting gaps, which includes identifying trade classification into asset classes, adjusted notional computation, supervisory parameter application

Requirement:

• Bachelor Degree in IT / Compute Science or relevant educational qualification.
• Minimum 10 years of experience on Murex with proven experience in MLC Architect and MXML.
• Strong experience supporting a diverse range of financial products, including IR and CR Derivatives, Fixed Income, Forex products.
• Strong experience with event-driven systems (MxML Exchange) for trading, events, and settlements, and integrating standard interfaces and connectors
• Advanced SQL skills for querying, manipulating data, and performing complex data analysis across relational databases. Strong understanding of database structures, including tables, indexes, views, and stored procedures.

Interested candidates, who wish to apply for the above position, please send in your resume to mail to mohamed.basith@persolapac.com

We regret that only shortlisted candidates will be contacted.

EA License No. 01C4394
EA Personnel Reg.No. R1104824 (Samsudeen Mohamed Basith)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolapac.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

A M&E Contracting company urgently seeking for professional as EVS system analyst for their on going project in MRT stations. The candidates should have Electrical, Electronics or computer science Engineering with Min 3 years experience in EVS system installation, testing and commissioning.
interested candidates rush their cv to cananengineering87@gmail.com

• Develop and enhance pricing optimization models using statistical, machine learning, and Generative AI techniques.
• Analyze pricing elasticity to understand customer behavior and forecast business impact.
• Build, fine-tune, and deploy Generative AI/LLM-based models (e.g., for scenario simulation, automated insights, or decision support).
• Use AWS SageMaker for scalable model development, training, deployment, and monitoring.
• Apply Bayesian modeling approaches to quantify uncertainty, support strategic pricing decisions, and improve prediction robustness.
• Integrate GenAI tools/frameworks (e.g., LangChain, Hugging Face, prompt engineering, LLM-based automation) into pricing workflows.
• Work cross-functionally with engineering, product, and business teams to embed data-driven insights into operational processes.
• Communicate complex findings clearly to both technical and non-technical stakeholders.
• Continuously explore new GenAI and ML techniques to enhance solution accuracy, scalability, and automation.

• Develop and enhance pricing optimization models using statistical, machine learning, and Generative AI techniques.
• Analyze pricing elasticity to understand customer behavior and forecast business impact.
• Build, fine-tune, and deploy Generative AI/LLM-based models (e.g., for scenario simulation, automated insights, or decision support).
• Use AWS SageMaker for scalable model development, training, deployment, and monitoring.
• Apply Bayesian modeling approaches to quantify uncertainty, support strategic pricing decisions, and improve prediction robustness.
• Integrate GenAI tools/frameworks (e.g., LangChain, Hugging Face, prompt engineering, LLM-based automation) into pricing workflows.
• Work cross-functionally with engineering, product, and business teams to embed data-driven insights into operational processes.
• Communicate complex findings clearly to both technical and non-technical stakeholders.
• Continuously explore new GenAI and ML techniques to enhance solution accuracy, scalability, and automation.

Job Overview / Job Description (JD)

The System Analyst will be part of the Customer Onboarding Program within Customer & Wealth Management. The role is responsible for end-to-end system analysis, translating business requirements into Functional Specifications (FS) and Technical Design Specifications (TDS) across multiple functional domains and technologies.

This role works closely with business users, vendors, developers, and testing teams to ensure secure, compliant, and high-quality delivery aligned with the bank’s System Delivery Methodology (SDM).

Key Responsibilities

1. System Analysis & Design

• Understand and analyze business requirements and translate them into functional and technical specifications
• Lead end-to-end requirements gathering, solutioning, and technical design
• Ensure system features meet business, security, reliability, and performance requirements

2. Project Delivery & Coordination

• Assist the Technical Delivery / Development Manager in planning, tracking, and implementation
• Support project tracking, phase control, and adherence to IT policies, standards, and procedures
• Manage coordination between business users, vendors, and interface application teams

3. Integration & Architecture

• Collaborate with cross-functional teams for interface and integration development
• Design and support integrations using APIs, microservices, MQ, and batch interfaces
• Prepare and maintain system architecture guides and diagrams

4. Testing & Release Management

• Work with Testing teams to define test strategies, test plans, and test cases
• Ensure comprehensive system testing aligned with scope, quality targets, and delivery timelines
• Manage release and change management activities
• Support implementation, deployment, and system cutover planning

5. Documentation & Governance

• Prepare and maintain documentation including: SOPs System Architecture documents Functional & Technical specifications
• Ensure documentation completeness as per Bank’s SDM (System Delivery Methodology) requirements

Key Requirements

General & Functional Skills

• Strong interpersonal and communication skills (verbal and written)
• Proven experience in end-to-end requirements management
• Solid background in business process modelling and techno-functional design
• Excellent analytical, problem-solving, and decision-making skills
• Passion for learning and continuous improvement

Technical Skills

• Experience working in Scrum or Agile development environments
• Strong experience in: API & microservices-based integrations MQ and batch file integrationsWeb-based enterprise applications

Domain & Value-Add Experience

• Experience in regional CRM implementations
• Strong banking domain knowledge, especially: Customer onboarding Credit products Retail & Corporate banking customer segments

1. Experience in Data Migration and conversion of data

2. Good in SQL scripts

3. Basic SAP Debugging

4. Healthcare industry knowledge will be advantageous

5. Good in Stakeholder handling

As a Data Migration Analyst, the candidate is responsible for analyzing the organization and designing its processes and systems.

You will assess the business model and its integration with technology, gather and synthesize information, and identify customer requirements.

Additionally, you will define the future state and/or business solution.

You are expected to be an SME, collaborate and manage the team to perform, and make team decisions.

You will also engage with multiple teams and contribute to key decisions.

Furthermore, you will provide solutions to problems for your immediate team and across multiple teams.

Business Process Analysis Tools proficiency is required.

Business Model Strategy, Business Process Design, and Requirements Analysis proficiencies are recommended

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 a Data Migration Analyst. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB TYPE
1-year renewable contract

ROLES AND RESPONSIBILITIES

• As a Data Migration Analyst, the candidate is responsible for analyzing the organization and designing its processes and systems.
• You will assess the business model and its integration with technology, gather and synthesize information, and identify customer requirements.
• Additionally, you will define the future state and/or business solution.
• You are expected to be an SME, collaborate and manage the team to perform, andmake team decisions.
• You will also engage with multiple teams and contribute to key decisions.
• Furthermore, you will provide solutions to problems for your immediate team and across multiple teams.

REQUIREMENTS

• Experience in Data Migration and conversion of data
• Good in SQL scripts
• Basic SAP Debugging
• Healthcare industry knowledge will be advantageous
• Good in Stakeholder handling

• Business Process Analysis Tools proficiency is required.
• Business Model Strategy, Business Process Design, and Requirements Analysis proficiencies are recommended

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 keerthana@aven-sys.com. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Keerthana Ramakrishnan
Avensys Consulting Pte Ltd
EA License 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.

Job Description

• Analyze existing business processes and systems to support data migration initiatives
• Design and implement data migration and data conversion strategies
• Develop and execute SQL scripts for data extraction, transformation, and validation
• Perform basic SAP debugging to support data-related issues
• Gather, analyze, and document business and technical requirements
• Collaborate with stakeholders to understand business needs and ensure alignment with system capabilities
• Define target state processes and recommend improvements to business workflows
• Act as a Subject Matter Expert (SME) in data migration activities
• Work closely with cross-functional teams and contribute to key project decisions
• Identify risks and provide solutions to issues impacting data migration and integration

Requirements:

• Bachelor’s degree in information technology, Computer Science, or related field
• Minimum 3–5 years of experience in data migration or related roles
• Strong hands-on experience in SQL scripting
• Basic knowledge of SAP debugging
• Experience with business process analysis tools
• Strong stakeholder management and communication skills

Preferred Qualifications:

• Experience in the healthcare industry
• Knowledge of Business Model Strategy, Business Process Design, and Requirements Analysis

Your Mission

As a Computer Vision Engineer, you will play a pivotal role in designing, implementing, and optimizing computer vision algorithms that are integral to our robotic systems. You will work closely with a multidisciplinary team of engineers and researchers to develop software and in-house core algorithm. This role demands a blend of creativity and technical expertise to tackle challenging problems and contribute to our mission of revolutionizing robotics applications in manufacturing and assembly.

What To Expect

• Design and implement advanced computer vision algorithms for 3D reconstruction, image processing, object detection, recognition, tracking, and scene understanding to enhance the capabilities of our robotic systems.
• Develop robust software solutions that integrate computer vision algorithms into our robotic platforms, ensuring high performance and reliability.
• Collaborate with other engineers and researchers to prototype new concepts and bring innovative technologies from conception to deployment in real-world applications.
• Continuously research and stay updated on the latest advancements in computer vision and machine learning technologies to inform development strategies.
• Optimize existing computer vision algorithms for efficiency, including improving accuracy, reducing computational resources, and achieving real-time performance.
• Conduct rigorous testing and validation of computer vision components to ensure system performance and reliability under diverse and challenging conditions.
• Document software designs, implementation details, and testing protocols to facilitate knowledge sharing and ensure reproducibility.

What You'll Bring

• A Master's or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or a related field, with more than 2 years of industrial experience focusing on computer vision and robotics.
• Solid foundation in computer vision, image processing (e.g. edge detection, denoising), multiple view geometry, depth estimation, machine learning techniques with proven experience developing and deploying algorithms in real-world applications. Please note that knowledge in deep learning is required but not sufficient.
• Expertise in camera calibration, like camera intrinsic calibration, camera-to-camera calibration and robot-to-camera calibration with proven experience on developing and deploying calibration algorithms.
• Expertise in programming languages such as C++, Python and CUDA, and familiarity with computer vision libraries (e.g., OpenCV, PCL) and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in calibration and 3D reconstruction (nerf and gaussian).
• Experience with point cloud processing is highly desirable.
• Ability to work effectively in a collaborative team environment and communicate complex technical concepts clearly and concisely.
• Creative problem-solving skills and a passion for innovation in robotics and computer vision technologies.

Your Mission

This position is responsible for applying data-driven problem-solving, data science, and optimization techniques to resolve real-life manufacturing problems and deploy the ideated solutions in a production environment.

What To Expect

[Data Analysis & Insights Generation]

• Analyze large, complex datasets to identify trends, patterns, and derive key underlying drivers of performance and how to further optimize them
• Identify opportunities for automation, process optimization, and innovation using data-driven approaches

[Data Science Solutions]

• Design, build, and deploy machine learning models and algorithms to solve business challenges and improve operational efficiency
• Collaborate with other team members to integrate AI/ML solutions into use case applications
• Train engineers and technicians to leverage the insights for improving their day-to-day performance

[Data Visualization & Reporting]

• Create interactive dashboards, reports, and visualizations to communicate insights to non-technical stakeholders.
• Use tools like Power BI, or Python libraries to present findings effectively

[Collaboration & Stakeholder Engagement]

• Participate as a data scientist in multi-disciplinary project teams aiming to improve the performance of our production environment in specific areas such as logistics and supply chain, assembly, maintenance, and quality
• Act as a subject matter expert on data science, providing guidance and support to project teams
• Recommend and implement new tools, techniques, and methodologies to enhance project outcomes

What You'll Bring

• Bachelor's or Master's degree in Industrial Engineering, Computer Science, Statistics, Mathematics, or equivalent practical experience.
• 5 years of project execution experience as a data scientist, resolving industrial problems across the value chain, including manufacturing, and ensuring the adoption of data science solutions.
• Preferred experience in the manufacturing and/or automotive industry.
• Strongly preferred experience in implementing data science and/or AI projects in real-life industrial environments (large POCs or at-scale deployments).
• Critical end-to-end problem-solving skills, including rapid and rigorous issue analysis, idea development and implementation, and feasibility demonstration and deployment at scale.
• Experience with data visualization tools like Tableau, Power BI
• Experience in applying Regression/Classification/Clustering models, Large scale data analysis, Time series analysis, Forecasting models, or Kernel-based methods.
• Experience in algorithm development using Mathematical programming (Linear programming, Mixed-integer programming), (Meta)Heuristic algorithms, Stochastic Process, or Combinatorial Optimization.
• Expertise in processing large-scale datasets in distributed data frameworks (Hadoop, Spark, or Hive).
• Expertise in data mining frameworks such as PyTorch, TensorFlow, Scikit-learn, or MLlib.
• Expertise in applying machine learning, Generative AI, LLMs is a plus.

Your Mission

This position is responsible for ensuring the stable operation, continuous improvement, and performance optimization of AMR and Fleet Management Systems, while leading Proof of Concept (PoC) initiatives in collaboration with headquarters to enhance system capability and scalability. 

What To Expect

• Ensure the stable and scalable operation of AMRs, mobile robots, and material handling systems aligned with the SDF strategy.

• Enhance system robustness and operational continuity through algorithm optimization and hardware performance improvements.

• Identify operational pain points and define improvement roadmaps to resolve performance and reliability issues.

• Lead the development and implementation of improvement initiatives across robotics and transport systems.

• Optimize multi-robot coordination, path planning, task allocation, and traffic control to maximize throughput and efficiency.

• Integrate robotics systems with MES, WMS, and factory digital platforms within the Software Defined Factory (SDF) architecture.

• Establish and monitor KPIs (e.g., uptime, throughput, cycle time) to drive data-driven performance improvements.

• Standardize best practices and system architecture to ensure scalability and maintainability.

• Lead HQ-driven PoC projects and validate new technologies for plant deployment.

• Enable factory-wide horizontal deployment and scalable expansion across production lines and plants.

What You'll Bring

• Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related field.

• 5+ years of experience in AMR/AGV, mobile robotics, or material handling system operations and optimization.

• Hands-on experience with AMR and fleet management systems, including multi-robot coordination, automation system integration, and scalable deployment.

• Strong expertise in algorithm optimization, including path planning, SLAM, and task allocation.

• Proven experience in system reliability enhancement and hardware performance improvement.

• Experience integrating robotics systems with MES, WMS, and factory digital platforms within SDF-based architectures.

• Demonstrated ability to establish and monitor KPIs to drive data-driven performance improvement.

• Proven track record in identifying operational issues, leading system performance optimization initiatives, and resolving complex technical challenges.

• Experience collaborating with cross-functional and/or global teams in manufacturing environments.

Your Mission

As a Computer Vision Engineer, you will play a pivotal role in designing, implementing, and optimizing computer vision algorithms that are integral to our robotic systems. You will work closely with a multidisciplinary team of engineers and researchers to develop software and in-house core algorithm. This role demands a blend of creativity and technical expertise to tackle challenging problems and contribute to our mission of revolutionizing robotics applications in manufacturing and assembly.

What To Expect

• Design and implement advanced computer vision algorithms for 3D reconstruction, image processing, object detection, recognition, tracking, and scene understanding to enhance the capabilities of our robotic systems.
• Develop robust software solutions that integrate computer vision algorithms into our robotic platforms, ensuring high performance and reliability.
• Collaborate with other engineers and researchers to prototype new concepts and bring innovative technologies from conception to deployment in real-world applications.
• Continuously research and stay updated on the latest advancements in computer vision and machine learning technologies to inform development strategies.
• Optimize existing computer vision algorithms for efficiency, including improving accuracy, reducing computational resources, and achieving real-time performance.
• Conduct rigorous testing and validation of computer vision components to ensure system performance and reliability under diverse and challenging conditions.
• Document software designs, implementation details, and testing protocols to facilitate knowledge sharing and ensure reproducibility.

What You'll Bring

• A Master's or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or a related field, with more than 5 years of industrial experience focusing on computer vision and robotics.
• Solid foundation in computer vision, image processing (e.g. edge detection, denoising), multiple view geometry, depth estimation, machine learning techniques with proven experience developing and deploying algorithms in real-world applications. Please note that knowledge in deep learning is required but not sufficient.
• Expertise in camera calibration, like camera intrinsic calibration, camera-to-camera calibration and robot-to-camera calibration with proven experience on developing and deploying calibration algorithms.
• Expertise in programming languages such as C++, Python and CUDA, and familiarity with computer vision libraries (e.g., OpenCV, PCL) and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in calibration and 3D reconstruction (nerf and gaussian).
• Experience with point cloud processing is highly desirable.
• Ability to work effectively in a collaborative team environment and communicate complex technical concepts clearly and concisely.
• Creative problem-solving skills and a passion for innovation in robotics and computer vision technologies.

Your Mission

This position will be responsible for driving strategic direction and operational excellence for our Software Defined Factory (SDF). This is a great opportunity to apply your talent in software QA, testing the CI/CD pipeline and DevOps. The ideal candidate will have strong programming skills in with expertise with modern testing frameworks like Selenium, Playwright, & deep experience with CI/CD pipeline integration.

What To Expect

[Technical DevOps]

• Establish and enforce robust testing frameworks, combining manual and automated testing to ensure product quality, compliance, and reliability.
• Design and develop automated test scripts that validate functionality without manual intervention
• Build and maintain automated test suites using  modern frameworks (Selenium, Playwright etc)
• Execute comprehensive QA tests across databases, networks, applications, systems, & software
• Perform regular automated testing cycles and regression tests as part of CI/CD pipeline processes
• Create test data setup and cleanup scripts for testing environments
• Champion risk-based testing methodologies to proactively identify vulnerabilities, mitigate risks, and prevent defects early in the development cycle.
• Work closely with development, DevOps, and operations teams to integrate testing seamlessly into CI/CD pipelines and across the software development lifecycle (SDLC).

[Process Improvement & Analysis]

• Locate bugs and quality issues across business, development, and service-level IT processes
• Review test results and document any defects found during testing
• Present quality metrics and testing reports to stakeholder teams

[Technical Implementation]

• Drive innovation in QA by implementing AI-driven test automation, predictive analytics, and modern verification strategies to boost testing efficiency and accuracy.
• Define and configure automation tools and frameworks to enhance testing capabilities, maintain and optimize existing tools
• Develop performance and load tests to validate system scalability

[Documentation & Standards]

• Create comprehensive test plans and automation guidelines
• Establish testing best practices across development teams
• Update test documentation to reflect current processes and procedures
• Ensure compliance and security testing requirements are met through automation

[General]

• Work and collaborate with development teams, DevOps team members during agile sprint planning to manage and identify testing QA requirements. 
• Participate in agile ceremonies including stand-ups, retrospectives, and sprint planning
• Coordinate with product owners/end users to validate requirements and acceptance criteria
• Partner with infrastructure teams to optimize test environment management
• Mentor development teams on automation best practices and conduct training sessions

What You'll Bring

• 4+ years of hands-on experience in quality assurance, testing methodologies, and system validation.
• 3+ years experience with CI/CD pipelines and automated testing integration, and testing tools (Jira, and other SaaS products)
• Strong understanding of Agile, DevOps, and CI/CD practices, including test automation frameworks and tools.
• Strong programming skills in Python, Java, JavaScript, or C#
• Experience testing across multiple technology stacks (databases, networks, applications, etc.)
• Familiarity with public cloud platforms (AWS) for development & testing environments
• Experience with modern front end and back end development (React, Angular, Node.js) and/or PTC Thingworx or similar platforms
• Experience designing and architecting cloud-based data pipelines and micro services
• Experience with databases & relational databases (PostgreSQL, MySQL)
• Experience with containerization (Docker) and serverless architecture
• Knowledge of Infrastructure-as-Code (IaC) & Ansible
• Strong knowledge of automation frameworks to enhance development workflows
• Strong understanding of security best practices and testing principles

Role Summary

Lead System Analyst – Tokenized Deposits Platform at United Overseas Bank

A senior role responsible for designing and delivering a blockchain-based tokenized deposits platform, integrating digital assets with core banking and payment systems while ensuring security, compliance, and scalability.

Key Responsibilities

1. Platform Design & Analysis

• Design end-to-end token lifecycle (issue, transfer, lock, redeem)

• Define user journeys, workflows, and system behavior

• Ensure proper reconciliation with banking systems

2. Blockchain + Banking Integration

• Integrate DLT (blockchain) with core banking systems

• Design on-chain & off-chain settlement flows

• Support domestic and cross-border payments

3. Architecture & APIs

• Define:

  • Smart contract interactions

  • APIs (REST/event-driven)

  • Token standards & metadata

• Ensure scalable, resilient system design

4. Compliance & Risk

• Align with regulatory requirements (MAS, AML, Travel Rule)

• Ensure audit trails, monitoring, and security controls

• Support fraud and transaction monitoring integration

5. Delivery & Team Support

• Lead analysis across Agile teams

• Guide developers on business logic & edge cases

• Support testing (multi-currency, settlement, failures)

6. Stakeholder Management

• Work with Payments, Treasury, Compliance, Tech teams

• Coordinate with vendors (DLT, custody, platforms)

• Communicate technical designs clearly

Key Requirements

Experience

• 7–12+ years in system analysis (payments domain preferred)

• Experience in:

  • Payments (Direct Debit, eMandate, etc.)

  • Banking integrations & ledger systems

Technical Skills

• API design (REST, JSON, Swagger)

• Microservices architecture

• Event-driven systems (Kafka or similar)

• System modeling (state machines, workflows)

• High availability & low-latency systems

Domain Knowledge (Important)

• Blockchain / DLT basics

• Digital assets:

  • Tokenized deposits

  • Stablecoins

  • CBDC

• Payment systems & settlement flows