Job Summary:

The Digital Product Manager is a key role responsible for the strategy, development, and management of digital products or services. This position plays a central role in defining the product vision, leading cross-functional teams, and ensuring that digital products meet user needs, business objectives, and market demands.

Key Responsibilities:

1. Product Strategy:Develop and communicate a clear product vision and strategy that aligns with the organization's overall goals.
   Define product goals, key performance indicators (KPIs), and success metrics.
   
2. Market Research:Conduct market research to understand customer needs, competitive landscapes, and emerging industry trends.
   Use insights to inform product development and enhancement decisions.
   
3. Product Roadmap:Create and manage a product roadmap outlining the short-term and long-term development plans.
   Prioritize features and enhancements based on customer feedback, business value, and market dynamics.
   
4. Requirement Gathering:Collaborate with stakeholders, customers, and cross-functional teams to gather and document detailed product requirements.
   Create clear product specifications, user stories, and acceptance criteria.
   
5. Agile Development:Work closely with development teams, following agile methodologies, to oversee the product development process.
   Ensure that the product is developed on time, within scope, and meets quality standards.
   
6. User Experience (UX) and Design:Collaborate with UX/UI designers to create user-friendly and visually appealing product interfaces.
   Validate design decisions based on user feedback and usability testing.
   
7. Testing and Quality Assurance:Oversee the testing and quality assurance processes to ensure the product meets defined requirements and quality standards.
   Address and prioritize issues and defects.
   
8. Product Launch:Plan and execute product launches, coordinating marketing, sales, and support efforts.
   Monitor product performance and gather user feedback after launch.
   
9. Performance Analysis:Analyze product performance and user feedback to make data-driven decisions for product improvements.
   Continuously monitor KPIs and adapt the product strategy as necessary.
   
10. Stakeholder Communication:Maintain effective communication with stakeholders, including executive management, development teams, marketing, and sales.
    Provide regular updates on product progress and outcomes.
    

Requirements:

1. Education: A bachelor's degree in business, marketing, computer science, or a related field is typically required. An MBA or relevant certifications (e.g., Certified Scrum Product Owner) may be preferred.
2. Experience: A minimum of 3-5 years of digital product management experience, with a proven track record of successful product launches and improvements, is typically required.
3. Market Knowledge: Strong understanding of the digital market, target audience, and industry trends.
4. Technical Knowledge: Familiarity with technology, development processes, and digital product management tools (e.g., Jira, Trello).
5. Analytical Skills: Proficiency in data analysis and the ability to make data-driven decisions to optimize the digital product.
6. Communication: Excellent verbal and written communication skills for effective collaboration with cross-functional teams and stakeholders.
7. Problem-Solving: Strong analytical and problem-solving abilities to address digital product challenges and make strategic decisions.
8. Leadership: Effective leadership and project management skills to guide the digital product development process.
9. Customer-Centric: A customer-focused mindset, with a deep understanding of user needs and the ability to advocate for user-centric digital product design.
10. Adaptability: The ability to adapt to changing market conditions and evolving digital product requirements.

The Digital Product Manager is instrumental in driving the success of digital products, from concept to launch and beyond. They are responsible for defining the product strategy, overseeing development, and optimizing performance to meet business objectives and user satisfaction.

Job Summary: The Product Manager is a key role in product development and management responsible for defining, planning, and executing the product strategy. They serve as the bridge between the development team and various stakeholders to ensure that the product meets customer needs, achieves business objectives, and remains competitive in the market.

Key Responsibilities:

1. Product Strategy:Develop and communicate a clear product vision and strategy that aligns with the organization's overall goals and objectives.
   Define product goals, key performance indicators (KPIs), and success metrics.
   
2. Market Research:Conduct market research to identify customer needs, market trends, and competitive landscape.
   Use insights to inform product development and enhancement decisions.
   
3. Product Roadmap:Create and manage a product roadmap that outlines the product's short-term and long-term development plans.
   Prioritize features and enhancements based on customer feedback, business value, and market trends.
   
4. Requirement Gathering:Collaborate with stakeholders, customers, and cross-functional teams to gather and document product requirements.
   Create detailed product specifications, user stories, and acceptance criteria.
   
5. Product Development:Work closely with engineering, design, and other teams to oversee the product development process.
   Ensure that the product is developed on time, within scope, and meets quality standards.
   
6. User Experience (UX) and Design:Collaborate with UX/UI designers to create user-friendly and visually appealing product interfaces.
   Validate design decisions based on user feedback and usability testing.
   
7. Testing and Quality Assurance:Oversee the testing and quality assurance processes to ensure the product meets defined requirements and quality standards.
   Address and prioritize issues and defects.
   
8. Product Launch:Plan and execute product launches, including coordinating marketing, sales, and support efforts.
   Monitor product performance and gather user feedback after launch.
   
9. Performance Analysis:Analyze product performance and user feedback to make data-driven decisions.
   Continuously monitor KPIs and adapt the product strategy as needed.
   
10. Stakeholder Communication:Maintain effective communication with stakeholders, including executive management, development teams, marketing, and sales.
    Provide regular updates on product progress and outcomes.
    

Requirements:

1. Education: A bachelor's degree in business, marketing, computer science, or a related field is typically required. An MBA or relevant certifications (e.g., Certified Scrum Product Owner) may be preferred.
2. Experience: A minimum of 3-5 years of product management experience, with a track record of successful product launches and improvements, is usually required.
3. Market Knowledge: Strong understanding of the market, target audience, and industry trends in which the product operates.
4. Technical Knowledge: Familiarity with technology, development processes, and product management tools (e.g., Jira, Trello).
5. Analytical Skills: Proficiency in data analysis and the ability to make data-driven decisions to optimize the product.
6. Communication: Excellent verbal and written communication skills for effective collaboration with cross-functional teams and stakeholders.
7. Problem-Solving: Strong analytical and problem-solving abilities to address product challenges and make strategic decisions.
8. Leadership: Effective leadership and project management skills to guide the product development process.
9. Customer-Centric: A customer-focused mindset, with a deep understanding of user needs and the ability to advocate for user-centric product design.
10. Adaptability: The ability to adapt to changing market conditions and evolving product requirements.

The Product Manager plays a critical role in driving the success of a product, from concept to launch and beyond. They are responsible for aligning the product with market needs, ensuring its development, and optimizing its performance to meet business objectives and customer satisfaction.

Job Description & Requirements

Responsibilities

• Ensure the successful implementation of the business strategy, responsibilities, services and deliverables
• Monitor programme reporting and assist the team in reporting to senior management and stakeholders
• Establish frameworks and standards for programme and project management manage and compile programme related financial and KPI information oversee project costs and ensure finances are well managed
• Provide and maintain a capacity planning and resource tracking service across the programme
• Planned track financial reporting whilst ensuring that the programme and projects adhere to the agreed budget
• Ensure cross-programme dependencies are managed and the dependency log is accurately maintained
• Coordinate project closure to distil good practice and ensure lessons learned are logged
• Build cohesion within the team and motivate team to produce quality work
• Define and embed project control and governance
• Provide Project planning, milestone management, scope management, resource forecasting
• Financial Management; change management across the project portfolio
• Prepare regular status reporting for the engagement leadership

Requirements:

• Proven track record for planning, executing, controlling and closing projects
• Experience of managing the complete lifecycle of a project with teams of 5 to 25 people
• Experience of project management using AGILE methodology (or equivalent) for medium to large sized projects
• Strong skills in creating and maintaining project and programme plans, including risks, actions, issues, dependencies
• Highly efficient in resource planning and tasks assignment
• Knowledge of benefits and dependency mapping, risk management and resource planning
• Highly proficient IT skills in Word, Excel, PowerPoint, and MS project
• Excellent written/oral communication skills for reports and presentations.
• Diplomatic ability to influence others at all levels of the business
• Strong and demonstrated ability to build lasting relationships with key stakeholders
• Ability to competently mediate disagreements and negotiate agreeable resolutions
• Experience of Programme and project level financial management
• Experience of defining and delivering benefits realisation for projects and programme

Responsibilities:

1. DeFi Market Data Infrastructure Development:
   Lead the design and development of a high-performance, real-time DeFi market data platform.
   Optimize streaming data pipelines to support real-time processing and aggregation of large-scale market data.
   Build efficient and flexible APIs to serve market data visualization, analytics, and recommendation use cases.
2. Recommendation System Development:
   Design and implement recommendation systems tailored for DeFi scenarios, providing personalized recommendations based on user behavior and market data.
   Optimize recommendation models using market data to enhance user decision-making and experience.
3. Blockchain and DEX Integration:
   Integrate with major blockchain ecosystems (e.g., Ethereum, BSC, Solana, Polygon) to enable real-time on-chain data parsing and aggregation.
   Design and implement on-chain DEX data processing algorithms, including AMM models, order book analysis, and liquidity monitoring.
4. Team Leadership and Collaboration:
   Lead the backend technical team, setting development goals and technical standards to ensure efficient project delivery.
   Collaborate closely with frontend, product, and other teams to drive end-to-end solutions.
5. Market Trends Analysis and Product Optimization:
   Stay up-to-date with trends in the DeFi market and recommendation systems, ensuring the platform maintains a competitive edge.
   Propose innovative features and product directions based on user needs and industry developments.

Requirements:

1. Technical Skills:
   Proficient in Golang, with solid experience in building high-performance backend systems.
   Familiar with streaming data processing technologies (e.g., Flink) to handle large-scale real-time data scenarios.
   Knowledgeable in distributed databases (e.g., TiDB) to support large-scale high-concurrency data storage and queries.
   Deep understanding of blockchain data parsing and DEX algorithms, including AMM and order book models.
2. Recommendation System and Search Optimization Experience:
   Experience in developing recommendation systems and designing recommendation logic tailored to DeFi data scenarios.
   Familiar with search optimization and personalization to enhance user discovery experiences.
3. System Architecture Experience:
   Proven experience in designing distributed systems and optimizing high-concurrency architectures.
   Skilled in caching mechanisms, microservice architectures, and large-scale API development.
4. Leadership and Collaboration Skills:
   Experience managing technical teams and leading them to efficiently complete complex tasks.
   Excellent communication and collaboration skills to drive projects from design to production.
5. Industry Knowledge:
   Strong understanding of DeFi, blockchain ecosystems, and market data operations with a keen sensitivity to decentralized finance business needs.
6. Proficient in chinese in order to alias Mandarin speaking colleagues and customers.

Preferred Qualifications:

• Experience working with companies such as GMGN, DefiLlama, Debot.ai, DEXscreener, OKX, or similar.
• Proven achievements in DeFi market data processing, recommendation systems, or market monitoring tools.
• Familiarity with cloud-native technologies (e.g., Kubernetes, Docker) and DevOps pipelines.
• Experience applying machine learning technologies (e.g., generative models, deep learning) to power AI-driven recommendations and analytics.

Job Description & Requirements:

As a Frontend Engineer, you will be responsible for architecting and developing efficient, reusable, and visually appealing frontend systems for a trading application powered by AI models and LLMs. You'll work closely with cross-functional teams, including backend engineers, AI engineers, product managers, UI/UX designers, and the product design team to deliver a responsive, engaging user experience across web and mobile platforms. Your expertise will ensure a seamless blend of aesthetic and functionality.

Key Responsibilities:

• Architect, design, and develop efficient and reusable frontend systems (Web/Mobile)
• Collaborate with backend engineers, AI engineers, UI/UX designers, product managers, and other stakeholders to build comprehensive, architecturally sound, and visually appealing frontend solutions
• Optimize code to improve scalability, reliability, security, and performance of web and mobile applications
• Design interactive components, especially for chat-based and generative UI, to create dynamic LLM-powered user experiences
• Write comprehensive tests for all developed features to maintain software quality and reliability
• Documentation of design and architecture.

Qualification & Skills:

• Minimum 6 years of professional experience as a Frontend Engineer
• Expert in HTML5 / CSS3 / ECMAScript 6 + / TypeScript. Strong preference for candidates experienced with Tailwind CSS
• Proficient in modern frontend frameworks, including React and Vue, and/or React Native for mobile
• Skilled in state management tools such as Redux, Pinia
• Experience with API design principles, RESTful API integration and familiar with React Query
• Strong understanding of client-side performance, optimization.
• Deep knowledge of scalability, reliability, and security considerations in modern web development.
• Familiarity with LLM application development and generative UI/interactive components, particularly for chat-based applications
• Excellent collaboration and communication skills to work effectively across teams

Leading AI quant fund are looking to hire a machine learning quant researcher onto their systematic team.

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets
• Focuses on Time-Series Transformers Based such as TFT
• Focuses on Pytorch Forecasting, GlutonTS, NeuralForecast Stacks
• Understanding the difference between autoregressive versus latent properties

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high-performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, Olympiads, academic contests etc.).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.
• Trading Background is not a pre-requisite for the above role.

Responsibilities:

• Design, develop, and optimize backend systems for MLOps workflows on our compute cloud platform.
• Build and maintain scalable, secure, and high-performance API services to support ML model training, deployment, and monitoring.
• Develop and integrate orchestration systems for managing AI workloads and containerized environments.
• Implement automated model lifecycle management, including versioning, monitoring, and retraining workflows.
• Collaborate with DevOps and infrastructure teams to ensure seamless deployment, scalability, and reliability of cloud-based AI workloads.
• Enhance logging, monitoring, and alerting systems for ML infrastructure performance tracking.
• Optimize resource allocation and scheduling strategies for distributed AI training and inference tasks.
• Work with AI researchers and engineers to streamline ML model deployment and inference pipelines.

Requirements:

• Bachelor's or higher degree in Computer Science, Software Engineering, or a related field.
• Strong programming skills in Python, with experience in backend development.
• Experience with cloud computing platforms (e.g., Kubernetes, Docker, AWS, GCP, or Azure).
• Proficiency in MLOps tools and frameworks (e.g., MLflow, Kubeflow, Airflow, Ray, or Argo Workflows).
• Solid understanding of distributed systems, microservices architecture, and API design.
• Hands-on experience with database technologies (SQL and NoSQL).
• Knowledge of infrastructure-as-code (e.g., Terraform, Ansible) and CI/CD pipelines.
• Familiarity with GPU acceleration frameworks (CUDA, NCCL) is a plus.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

• Experience in AI/ML model deployment and serving (e.g., TensorFlow Serving, TorchServe, Triton Inference Server).
• Background in optimizing resource utilization for large-scale AI workloads.
• Knowledge of network and security best practices for cloud-based AI systems.
• Contributions to open-source MLOps projects are a plus.

Responsibilities:

1. Develop distributed artificial intelligence systems and deploy them on large-scale clusters or clouds.
2. Develop and optimize algorithm systems from specific scenarios and problems, and produce solutions applied to the scenarios.
3. Participate in the integration design and optimization of artificial intelligence technology and existing tools to improve product performance.
4. Write high-quality scientific papers and have the opportunity to serve as the first author of important papers.

Requirements:

1. Proficient in TensorFlow/PyTorch, Ray/DeepSpeed/NVIDIA Megatron, and familiar with the internal operating mechanisms of these systems.
2. Familiar with various optimization algorithms and model architectures, proficient in Python or C++ optimization algorithm libraries, including various classical algorithms and models based on gradients (BERT, GPT-3, Swin Transformer, ViT, MLP-Mixer).
3. Familiar with SaaS, architecture, compilers, networks, CUDA, and other related knowledge or have relevant project experience.
4. Strong programming and engineering implementation abilities. Those who have won programming competition awards or published high-quality papers will be given priority in recruitment.
5. Bachelor's degree or above from 211, 985, or overseas well-known universities, majoring in computer science, software engineering, electronic information, automation, mathematics, physics, or other artificial intelligence-related majors.

About the Role

As a Regional Product Manager for X STAR, you will be responsible for overseeing the standardization and alignment of servicing and collection processes across multiple markets in SEA jurisdictions. You will leverage your deep expertise in this area to ensure efficient operations, customer satisfaction, and effective risk management.

Job Responsibilities

• Drive the standardization of loan servicing and collection processes across the region, ensuring consistency in policies, procedures, and systems.
• Provide expert guidance on servicing and collection best practices, risk management strategies, and regulatory compliance.
• Identify opportunities to improve the efficiency and effectiveness of loan processes, reduce operational costs and enhance customer experience.
• Oversee the implementation of technology solutions to support servicing and collection operations, including customer portals, automated collection systems, and data analytics tools.
• Conduct UAT and live verification to ensure the quality of the system delivery.
• Develop and implement strategies to mitigate credit risk and manage delinquent accounts effectively.
• Track the performance of loan servicing and collection operations across the region and identify areas for improvement.
• Collaborate with local country product managers to ensure alignment with regional strategies and address market-specific needs.
• Liase with group stakeholders to make sure the products are delivered.
• Liaise with developers based in China for development and delivery of loan servicing and collection features and systems.

Requirements

• Bachelor's degree in Business Administration, Finance, Economics, or related field.
• Minimum 3 years of experience in loan servicing and collection, preferably in a regional or global role.
• Deep understanding of loan servicing and collection processes, including customer communication, lending products life cycle, payment processing, delinquency management, and recovery strategies.
• Experience in digital banking or fintech.
• Knowledge of Agile methodologies and Waterfall.
• Proven track record of driving process standardization and optimization.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills, including the ability to effectively communicate in English and Mandarin.
• Ability to work effectively in a cross-functional and multicultural environment.

Job Description:

· Design and implement sales strategies suitable for the Southeast Asian markets based on the company's strategic positioning and development plans, provide professional advice to management on market positioning, product strategy, and business models.

· Build and manage the sales team, set annual, quarterly, and monthly performance targets, provide sales training and guidance to team members and relevant departments, and lead the team to achieve the company's overall sales goals.

· Regularly track the sales team's performance, analyse sales data, identify trends and issues affecting performance; prepare performance reports, update management on sales progress, and offer improvement suggestions.

· Establish and refine the company's sales management systems and processes, building the initial sales framework and operational mechanisms.

· Conduct regular market research, analyse industry trends, competitor activities, and changes in customer needs to support sales strategy with data.

· Develop and maintain diversified sales channels, increase market coverage of products; introduce sales management tools, analyse sales data, monitor the effectiveness of sales activities, and optimize sales processes.

· Maintain a database of potential clients, follow up regularly, and facilitate customer conversion.

Job Requirements:

· 8-10 years of sales management experience in the SaaS software, IT, or internet industry, with at least 3 years in a managerial role.

· Familiar with Southeast Asian markets, with a preference for experience in building teams from the ground up in a startup environment.

· Bachelor's degree or higher, with a preference for majors in marketing, business management, or related fields.

· Proficient in using mainstream CRM software (e.g., Salesforce), with strong data analysis, strategy development, and execution skills, and adept at using data to support decision-making.

· Strong team leadership and project management experience, capable of working efficiently in a fast-paced environment.

· Excellent communication skills in both Chinese and English to liaise with China associates.

· Responsible for achieving the stipulated sales target set by company.

· Formulate offline sales strategy, develop, and organize the implementation of a comprehensive sales plan, lead the team to translate the plan into sales results.

· Actively seek out new sales opportunities by identifying and targeting potential customers in the enterprise software market, with a preference for those needing Edutech and Office Automation (OA) systems solution.

· Stay informed about software industry trends, competitive services, and market conditions.

· Create and deliver persuasive sales presentations and proposals to potential customers.

· Build and maintain strong relationships with existing/new clients to understand their evolving needs, address concerns, and ensure client satisfaction.

Job Requirements:

· Degree or above in Marketing, Business Administration or related

· 2 years or more of B2B software sales experience, with a proven track record of meeting or surpassing sales targets. Prior sales experience in the Edutech and OA office software industry is desirable.

· Excellent communication and interpersonal skills.

· Ability to work independently and as part of a team.

· Must maintain high professional and technical knowledge standard.

· Fluency in English and Chinese to interactions with Mandarin-speaking clients or staff at the China branch.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are seeking a detail-oriented and highly organized individual as a IT Coordinator (Banking), to support the Network & Hosting Team of our client in Singapore, which is a top global investment bank.

In this role, you will be responsible for coordinating the timely and accurate delivery of network and hosting infrastructure equipment to data centers, warehouses, and other critical facilities of the bank. You will work closely with vendors, logistics teams, and internal stakeholders to ensure that all deliveries are processed efficiently, and items are received accurately.

Key Responsibilities

Delivery Coordination:

• Oversee the end-to-end logistics of equipment deliveries to data centers, warehouses, and other relevant locations.
• Coordinate with internal teams to ensure timely ordering and procurement of required items, ensuring all equipment is ordered according to project specifications.
• Track and monitor the status of orders and shipments, ensuring that deliveries are on time and accurate.

Vendor and Supplier Management:

• Liaise with vendors, suppliers, and third-party logistics partners to manage orders, deliveries, and any issues or delays.
• Ensure that vendor documentation (such as invoices, packing slips, etc.) is complete and accurate.
• Track vendor performance and report any discrepancies or issues that may impact delivery timelines.

Data Center Access Coordination:

• Request and manage access passes for entry into data centers, ensuring that all passes are prepared and ready for delivery teams.
• Work closely with security and facilities teams at data centers to ensure that delivery teams and equipment are properly authorized for entry.
• Ensure compliance with all data center protocols regarding access, safety, and security.

Delivery and Equipment Verification:

• Ensure that all equipment and shipments are verified upon delivery, checking for accuracy against purchase orders, shipping manifests, and packing lists.
• Document any discrepancies or damages in delivery, escalating issues as needed to the relevant teams for resolution.
• Perform initial inspections and quality checks to ensure that items received are in good condition and meet project requirements.

Logistics Documentation:

• Maintain detailed and organized records of all logistics-related activities, including delivery schedules, vendor communications, and access permissions.
• Report on logistics performance and provide feedback to relevant teams for continuous improvement.

Stakeholder Communication:

• Act as the primary point of contact for all logistics-related queries from internal teams, external vendors, and data center personnel.
• Provide regular updates on the status of deliveries, ensuring all stakeholders are informed of any issues or delays.

Other Duties:

• Perform additional duties and responsibilities as needed to support network infrastructure projects and hosting operations.

Requirements:

• Bachelor’s degree in Business, Logistics, Information Technology, or any other field
• Relevant experience is not required but will be an advantage
• Strong organizational and time-management skills, with the ability to manage multiple tasks simultaneously.
• Excellent communication and interpersonal skills, with the ability to work collaboratively with internal teams and external vendors.
• Attention to detail and accuracy in handling equipment deliveries and documentation.
• Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint).

Preferred Qualifications

• Relevant experience in logistics coordination, vendor management, or similar roles, in a network, IT, or data center environment will be an advantage
• Familiarity with data center operations, network infrastructure, and hosting environments (advantageous).
• Experience working in data center or network infrastructure environments.
• Knowledge of industry-standard logistics practices and shipping methods.
• Familiarity with vendor management and procurement processes.
• Experience in coordinating equipment deliveries in high-security environments.

Working Conditions

• Office and data center environment.
• Occasional travel to data center locations may be required.
• Ability to work outside of normal business hours (Saturday or after 6pm) is required for the role to coordinate deliveries or handle urgent requests.

about the role

• Be the subject matter expert in technology and functional aspects related to regulatory and compliance operations
• Design, implement, and optimize compliance technology solutions, including AML monitoring and sanctions screening.
• Ensure systems align with local and international regulatory requirements, such as MAS guidelines and FATF standards.
• Collaborate with compliance, IT, and business teams to translate requirements into functional technologies.

skills and experience required

• Bachelor’s degree in Computer Science, or equivalent
• Minimum 10 years of experience in compliance technology within banking or financial services.
• Strong knowledge of AML, sanctions, and regulatory frameworks, paired with technical expertise in compliance tools.

To apply online please use the apply function, alternatively you may contact Chloe Chen at chloe.chen(@)randstad.com.sg. (EA: 94C3609 /R1768253)

Job Highlights

• 5 days week
• Friendly Environment
• Medical and Dental Benefits

Job Description

Responsibilities:

• Delivery of goods (Sanitarywares) to customers
• Liaising with customers prior to delivery arrival
• Ensure deliveries are done in a timely and orderly fashion
• Assist with loading and unloading of products from truck
• Checking of delivery orders before and after deliveries
• Ensure all documentation is signed and acknowledged by the relevant parties
• Assist warehouse in stocking duties from time to time

Requirements:

• Must hold a Class 4 driving license
• Conversant in basic English
• Customer-service oriented and positive work attitude.
• Min 1-year experience in a similar role

X Star is a wholly owned subsidiary of Yixin Group Limited, a leading online automobile financing platform. By leveraging on our leading platform technologies and strong shareholder background (which includes Tencent and JD.com), X Star is committed to the vision of building an automotive ecosystem with more convenient, safe and efficient financing services.

Job responsibilities:

1. Develop product strategy and workflow:

• Responsible for developing auto-finance product strategy and planning, increasing loan book and profitability.
• Manage auto-loan product positioning in the industry.
• Design and manage dealer commission program to maximize organic growth.
• Work with risk, finance and legal team to ensure products meet regulatory standards and ensure smooth product operations.
• Work with technology team to design new workflow and system design

1. Market research and data analytics

• Analyze market demands, competitor landscape, and customer needs to continuously improve the product offerings and increase product competitiveness.
• Obtain insights into our customer segment and profiling through in-depth user research and data analysis, and interview with BDs and car dealers
• Conduct market research and data analysis to inform product strategy and decision-making.

Requirements:

• Bachelor’s degree in business, finance, marketing, or relevant field
• 3 years of relevant industry experience in financial institutions, consumer lending, or fintech companies
• A self-starter who is able to work interpedently and engage cross-functional teams
• Excellent interpersonal and communication skills, strong negotiation skills, independent and self-motivated.
• Energetic, dynamic, optimistic and customer service-oriented
• Strategic and data-driven thinking
• Positive, ambitious and goal-oriented

Job Responsibilities:

· Prepare group consolidation and financial reporting

· Work with business units to analyse business performance and financial analysis

· Responsible for financial planning, forecasting, budgeting and analysis of financial accounts

· Ensure compliance with internal controls, statutory reporting requirements and financial accounting regulations.

· Ensure timely and accurate month-end closing of accounts, year-end closing, management reporting and financial analysis

· Collate information with relevant departments and analyse project costs, revenue and related balance sheet accounts on a monthly basis and comment on variance

· Prepare reconciliation of project modules, inter-company transactions and general ledger

· Provide financial insights, analyse and drive business performance to achieve business and growth targets

· Management of cash flow and credit control

· Provide guidance, advice and support to the Finance team (including subsidiaries) at the operational level

· Perform monthly reporting and review of Financial Statement for Management

· Review and submission of Quarterly GST reports

· Liaise with bankers, auditors, tax agents on financing, treasury, accounting, taxation and insurance risk matters

· General accounting and statutory audit

Other ad-hoc projects

Job Requirements:

· Candidate must possess at least an ACCA, Degree or Diploma in Accountancy, Finance or equivalent

· Minimum 5 years of experience in commercial accounting

· Experience in group consolidation is a must

· Experience with SAP B1 preferred

· Knowledge in APAC tax laws and accounting standards will be advantageous

· Well organized and meticulous

· Responsible and positive working attitude

· Analytical and detailed-oriented

· Prior experience in the manufacturing or construction sector would be advantageous but not a must.

Job Summary:
We are seeking an experienced Privileged Access Management (PAM) Engineer to design, implement, and manage our CyberArk PAM solution. The ideal candidate will play a critical role in securing privileged identities, integrating various platforms, and operationalizing PAM solutions to enhance organizational security. This position requires expertise in CyberArk, privileged account management, and the integration of diverse IT systems.

Key Responsibilities:

1. Integrate a variety of platforms with the CyberArk PAM solution, including LDAP providers, Windows servers, UNIX/Linux servers, databases, networking devices, middleware, and custom applications (including SaaS).
2. Develop password and session management connectors to onboard and manage privileged accounts within the CyberArk solution.
3. Deploy and operationalize CyberArk components, including Privileged Threat Analytics (PTA), On-Demand Privileges Manager (OPM), and related modules.
4. Implement and configure Application Access Manager (AAM), Conjur, and Secrets Hub for secure access and secrets management.
5. Document solution architecture, workflows, and Standard Operating Procedures (SOPs) while providing comprehensive knowledge transfer to operations and support teams.
6. Collaborate with the support team to resolve technical issues and incidents, offering expertise and guidance as needed.

Required Skills and Experience:

1. Minimally 4 years of experience in Privileged Account Management (PAM) technologies.
2. Proven experience in planning, scoping, deploying, and integrating PAM solutions.
3. Strong knowledge of related technologies, such as: Security Information and Event Management (SIEM) tools.
4. IT Service Management platforms like ServiceNow or BMC Remedy.
5. Databases, including SQL and Oracle.
6. Network configuration and Windows Active Directory (AD).
7. UNIX/Linux and Windows servers.
8. Experience with deploying PAM solutions in cloud environments (e.g., AWS, Azure) and managing privileged identities in DevOps workflows.
9. Proficiency in documenting solution designs and operational procedures.
10. Relevant PAM certifications (e.g., CyberArk certifications) are a strong advantage.

Preferred Qualifications:

• Hands-on experience with CyberArk Application Access Manager, Conjur, and Secrets Hub.
• Familiarity with managing privileged accounts in hybrid cloud environments.
• Strong problem-solving and troubleshooting skills.

Your Role

As a Lead Data Engineer, you will spearhead the development and optimization of our data infrastructure to enable advanced analytics capabilities. Collaborating with cross-functional teams, you will ensure seamless integration and delivery of robust, scalable, and efficient data solutions. In this leadership role, you will mentor and guide a team of engineers while contributing to the strategic direction of the organization’s data landscape.

Key Responsibilities

• Data Engineering & Development:Design and implement large-scale data processing pipelines using Spark Scala, handling structured and unstructured data.
  Integrate Elasticsearch with Spark for efficient indexing, querying, and data retrieval.
  Optimize Spark applications for performance and scalability, ensuring minimal latency and high throughput.
  
• Containerization & Orchestration:Deploy data solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
  Optimize workflows for containerized environments and ensure efficient resource utilization.
  
• DevOps Integration:Collaborate with DevOps teams to streamline deployment using CI/CD pipelines and tools such as Jenkins, Bitbucket, and Ansible.
  Implement robust monitoring and logging frameworks using tools like Grafana, Prometheus, and Splunk to maintain platform stability.
  
• Collaboration & Stakeholder Management:Work with data scientists, analysts, and infrastructure engineers to understand requirements and translate them into technical solutions.
  Communicate technical designs and processes effectively to both technical and non-technical stakeholders.
  
• Leadership & Mentorship:Lead and mentor a team of data engineers, fostering a culture of continuous learning and innovation.
  Advocate for best practices in data engineering, DevOps, and cloud technologies.
  
• Documentation & Research:Document workflows, pipelines, and configurations to ensure team knowledge sharing.
  Stay abreast of emerging technologies and best practices in data engineering and cloud infrastructure.
  

Requirements

• Education:Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
  
• Experience:Minimum of 10 years in data engineering roles with expertise in Hadoop, Spark, and related tools (e.g., HDFS, Hive, Ranger).
  Hands-on experience with OpenShift Container Platform (OCP) and container orchestration tools like Kubernetes.
  Proven track record of building and scaling data infrastructure in large, complex environments.
  
• Technical Skills:Proficiency in programming languages such as Scala, Python, or Java.
  Deep understanding of DevOps practices, including CI/CD pipelines and automation tools like Docker, Jenkins, and Ansible.
  Familiarity with monitoring and logging tools such as Grafana, Prometheus, and Splunk.
  Exposure to cloud platforms (AWS, Azure, GCP) and their data services is a plus.
  
• Soft Skills: Exceptional problem-solving abilities and a proactive approach to resolving technical challenges.
  Strong communication and collaboration skills to work effectively across diverse teams.
  Ability to balance multiple priorities and deliver high-quality results in a dynamic environment.
  

Preferred Qualifications

• Experience in cloud-native data services (e.g., AWS Redshift, Azure Data Factory, GCP BigQuery).
• Knowledge of advanced analytics and machine learning pipelines.

We are looking for a trusted advisor and technical expert, guiding organizations through their ServiceNow journey. Leverage your in-depth knowledge of the platform to design, implement, and optimize ServiceNow solutions tailored to address specific business needs.

Job Description

• Configure the ServiceNow platform to meet the organization's ITOM requirements.
• Design and implement workflows, forms, and automation scripts to optimize ITOM processes.
• Configure observability tools to inform on user behavior, system availability, capacity, etc. to ensure that everything is performing optimally
• Discover devices and applications across various network segments to ensure data quality of CMDB.
• Build Service Maps to drive service-aware operations and gain visibility into relationships between applications, IT components, and cloud services.
• Implement Event Management solutions to improve service availability, provide root cause analysis, and automated remediation.
• Conduct requirements analysis for development of new features, components and enhancements to existing components.
• Conduct or participate in design discussions, design/code walkthrough meetings.
• Design, develop, review, test, deploy and support out of the box solutions in the platform.
• Ensure compliance to customers security best practices and coding standards.
• Ensure compliance to customers reference architecture and requirement/design artefacts.
• Ensure compliance to customers development and release methodologies (CM/CI/CD).
• Navigate and adapt to various environments providing support for and working closely with customers.
• Contribute to production work including deployments and incident and problem management.
• Provide technical guidance to customers and act as mentor to less senior team members. May give presentations to management and customers.
• Integrate ServiceNow ITOM modules with other enterprise systems to create a seamless and efficient information flow.
• Establish and maintain data integrations to ensure accuracy and consistency.
• Generate and analyze reports related to Discovery, Service Mapping, and Event Management.
• Ensure the organization is prepared for audits and regulatory inspections.
• Stay informed about industry best practices and evolving regulatory requirements.
• Propose and implement improvements to ITOM processes and ServiceNow configurations

Requirements

• Bachelors degree in an IT related discipline
• 5+ years of experience working with the ServiceNow platform, with a focus on ITOM modules.
• Strong understanding of Discovery, Service Mapping, and Event Management principles and best practices.
• Proven experience as a ServiceNow Developer with at least 5 years software development experience and can demonstrate strong development skills in the areas of ITSM/ITOM.
• Experience in setting up and managing out of the box applications.
• Proven experience of ServiceNow system administration.
• Ability to demonstrate experience with determining the best possible solution.
• Must be comfortable working independently with minimal oversight as well as comfortable working in a team setting swarming and peer programming.
• Excellent problem solving and analytics skills, with proven experience of requirements gathering and translating requirements into technical deliveries.
• Demonstrate excellent communication skills and be confident presenting ideas and designs to different stakeholder levels.
• Experience in Observability a plus.
• Experience in configuring ServiceNow workflows and forms.
• Experience with creating and maintaining ServiceNow objects like tables, business rules, client scripts, UI actions, UI policies, script includes, workflows etc.
• Experience with User Management including groups, users, roles, ACLs, etc.
• Excellent problem-solving and communication skills.
• Relevant certifications in ServiceNow (e.g., ServiceNow Certified Implementation Specialist) is a plus.

1. Client Relationship Management: Building and maintaining strong relationships with clients, understanding their needs, and ensuring that the team delivers value.

2. Project Leadership: Overseeing project execution, ensuring that it stays on track, meets deadlines, and adheres to the DTAS’s quality standards.

3. Project Team Management: Leading a team of consultants during project execution, providing guidance, mentorship, and support during project execution.

4. Problem Solving: Collaborating with clients and team members to identify key issues, provide recommendations, and design and implement solutions.

5. Communication: Proficiency in English is required, Effectively communicating findings, recommendations, and project status to clients and stakeholders through presentations and reports.

6. Business Development: Identifying opportunities for follow-up work or new projects with existing clients and contributing to proposals for new engagements.

7. Strategic Insight: Leveraging PTC solutions/industry knowledge/analytical skills to provide insights and recommendations that drive client success.

Requirements:

• Bachelor Degree holder or above
• 5 years or above PLM (Product Lifecycle Management) project service delivery management and service business development exp.
• Fluent in English, if can speak Thai would be a great plus.

Job Summary:

We are seeking a skilled Access Management Engineer with hands-on experience in the Ping Identity Platform to design, implement, and support identity and access management (IAM) solutions. The ideal candidate will be responsible for integrating IAM systems with various applications, migrating legacy systems, and ensuring secure, efficient, and seamless access for users. This role requires expertise in advanced authentication protocols, system design, and troubleshooting in dynamic and collaborative environments.

Key Responsibilities:

1. System Design: Develop comprehensive design documents, propose efficient solutions, and estimate timelines for IAM projects.
2. Application Onboarding: Integrate IAM solutions, including Ping One SSO, Ping ID, Ping Da Vinci, Ping Federate, and Ping Access, with new applications and platforms.
3. Application Migration: Plan and execute migrations from legacy IAM systems to modern solutions with innovative design thinking.
4. Operations Support: Provide Level 3 (L3) support for production issues, working closely with support teams to resolve complex problems effectively.
5. Stakeholder Collaboration: Collaborate with various stakeholders, ensuring alignment between technical solutions and business needs.

Required Skills and Experience:

1. Mimimum 4 years of experience in IAM
2. Strong technical expertise in designing, developing, coding, testing, and debugging IAM systems.
3. Proficiency with authentication and authorization protocols, including SSO, SAML, OAuth, OIDC, and SCIM.
4. Hands-on experience with advanced multifactor authentication techniques, such as passwordless authentication and FIDO2 standards.
5. Passion for improving web and infrastructure security in fast-paced environments.
6. Excellent troubleshooting skills to resolve complex issues efficiently.
7. Strong communication skills to engage with stakeholders across technical and non-technical teams.

Preferred Qualifications:

• Familiarity with the Ping Identity Platform tools like Ping One SSO, Ping ID, Ping Da Vinci, Ping Federate, and Ping Access.
• A proactive mindset with a commitment to enhancing security and access management solutions.

Join ACA Pacific as a Business Development Manager (BDM) - Firewall and Network Products

Are you passionate about cutting-edge network security solutions? Do you have a knack for building strong client relationships and driving sales growth? ACA Pacific is looking for a dynamic and results-oriented Business Development Manager (BDM) to join our team and lead our firewall and network product portfolio.

Key Responsibilities:

• Develop and execute strategic sales plans to achieve sales targets and expand our customer base.
• Identify and engage with potential clients, understanding their needs and providing tailored solutions.
• Maintain and grow relationships with existing clients, ensuring high levels of customer satisfaction.
• Collaborate with the technical team to stay updated on the latest product developments and industry trends.
• Conduct market research to identify new business opportunities and stay ahead of competitors.
• Prepare and deliver compelling presentations and proposals to clients.

Qualifications:

• Proven experience in business development, sales, or a related field, preferably within the IT or network security industry.
• Strong understanding of firewall and network products and their applications.
• Experience in the transport, manufacturing, or logistics verticals is highly desirable.
• Excellent communication, negotiation, and presentation skills.
• Ability to work independently and as part of a team, with a proactive and results-driven approach.
• Diploma in Business, IT, or a related field is preferred.

What We Offer:

• Competitive salary and performance-based incentives.
• Opportunities for professional growth and development.
• A supportive and collaborative work environment.
• Access to the latest technologies and industry-leading products.

Job Description: We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:

Research Areas:

1. Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
2. Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
3. Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
4. Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
5. Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.

Key Responsibilities:

• Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
• Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
• Analyze and interpret simulation results, developing insights into novel physical phenomena.
• Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
• Publish research findings in high-impact, peer-reviewed journals.
• Present research results at internal seminars, conferences, and workshops.
• Contribute to the development of computational tools and code libraries for the group's research.

Qualifications and Skills:

• Required:
  • A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field.
  • Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
  • Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
  • Ability to develop and modify simulation codes to model complex, multi-physics systems.
  • Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
  • Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.

Preferred:

• A strong publication record in top-tier journals in related fields.
• Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
• Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
• Ability to work independently and as part of an interdisciplinary team.
• Demonstrated creativity and innovation in solving complex theoretical and computational problems.
• Experience in collaborative research with experimentalists or other research groups is highly desirable.

Eligibility:

• Ph.D. holders with a relevant background in theoretical/computational physics, engineering, or applied mathematics are encouraged to apply.

• We seek out for a researcher with a PhD in Physics or similar. In particular the candidate is expected to have a strong back ground in many-body quantum physics with extensive experience in tensor networks and neural network quantum states.
• The researcher will work on developing the numerical approaches and apply them to areas such as quantum thermodynamics, many-body quantum systems out of equilibrium and biology.
• High competence in parallel programming and GPU programming is preferred.

The Singapore University of Technology and Design (SUTD) is seeking a full-time research assistant (RA). The roles of the RA include assistance in developing cutting-edge frameworks that integrate uncertainty estimation into sensor systems to enhance the robustness and safety of autonomous CPSs. The selected candidate will work closely with Dr. Qun Song and a multidisciplinary team of researchers.

Key Responsibilities:

• Assist in the design, development, and evaluation of uncertainty-aware frameworks for autonomous systems.
• Implement and test algorithms on various sensor systems.
• Work with real-world datasets and open-source simulators. Analyze data to evaluate system performance.
• Assist in developing and deploying prototypes for uncertainty-aware CPSs on autonomous racing cars and real-world testbeds.

Qualification & Experience:

• Bachelor’s / Master’s degree in Computer Science, Electrical Engineering, Robotics, or related fields.
• Strong programming skills in Python.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Knowledge of autonomous systems, robotics, and/or sensor fusion techniques.
• Excellent written and verbal communication skills.

Interested candidates are invited to submit the detailed CV and official transcripts to [email protected].