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.

Coinhako is a market-leading platform for access to digital assets like Bitcoin from Singapore.

Founded in 2014 by Singapore entrepreneurs, Coinhako was created with a simple value proposition – to create a simple and hassle-free way to access Bitcoin. Over the years, we have expanded on this to provide access to a wide variety of digital assets, as we work towards our vision of enabling access to the crypto-economy across Asia.

We are widely recognised as one of the easiest platforms for retail buyers, boasting robust features, user-centric design, and uncomplicated trading processes, to provide secure and seamless access to a wide variety of cryptocurrencies.

We are looking for motivated individuals who are passionate about the crypto space to join our team as an Junior Trader that will focus on SPOT Trading (London Shift; 4PM to 12AM SGT / 5PM to 1AM SGT).

What you’ll be doing:

• Monitor the performance of algorithms on designated trading platforms and execute trades within predefined risk limits
• Contribute to the design and implementation of the trading operation system to improve reliability and reactive hedging
• Analyze and report on hedging and funding activities, and manage assets on our balance sheet effectively
• Assist with scripting configuration files and the database system as needed
• Collaborate with the quant team to develop and maintain risk management tools for the night desk's daily operations and handover
• Assist in flow management and execution of customer requests in both spot and options
• Help manage treasury operations and controls for the team

What we’re looking for:

• Possess a degree in technical field
• 0 - 2 year working experience in trading roles(sell side, buy side, quant) preferred
• Strong programming skills in Python
• Ability to work in high volume and volatile environment
• Able to commit to rotational and shift work
• Detail oriented; demonstrates thoroughness and positive attitude
• Passionate about crypto, industry experience would be an advantage

What’s in for you:

• Friendly and fun start-up work culture
• Convenient work location located in the heart of CBD area
• Generous annual leaves on top of national holidays
• Medical coverage including GP, Specialist, TCM and more
• Vibrant office with well-stocked pantry
• Animal-friendly environment, with a fluff ball in the office

Find out more about Coinhako @ https://www.coinhako.com/ and don't forget to visit our Careers Page @ https://www.coinhako.com/join-us!

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
• Utilizes on discrete/non-discrete continuous optimization to generate a recommender system for the optimal baskets of symbols to trades
• Collaborative filtering and other recommender-based systems may be a bonus

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.

Key Responsibilities:

• Data Infrastructure Development: Design and build scalable, efficient, and secure data infrastructure to support advanced analytics and reporting systems.
• ETL Pipeline Development: Develop and maintain robust ETL (Extract, Transform, Load) pipelines to process data from various sources, ensuring high-quality, consistent, and accurate data.
• Data Integration: Integrate multiple internal and external data sources, ensuring seamless data flow across platforms.
• Data Modeling: Create and maintain data models and schemas that ensure the efficient storage and retrieval of data.
• Optimization and Performance Tuning: Enhance the performance and scalability of data pipelines, optimizing for speed and reliability.
• Collaboration: Work closely with data scientists, business analysts, and other teams to ensure that data is organized and accessible for analysis, reporting, and machine learning applications.
• Data Governance: Implement data quality control processes to maintain data integrity and consistency.
• Automation: Automate data workflows and systems to ensure efficiency and reduce manual work.
• Troubleshooting and Maintenance: Monitor the health of data systems, diagnose issues, and maintain optimal data system performance.

Qualifications:

• Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience).
• Experience:2+ years of experience in data engineering, database management, or a similar field.
  Experience working with cloud platforms (AWS, Google Cloud, or Azure).
  Proficiency in relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, Cassandra).
  Solid experience with ETL processes and tools (e.g., Apache Airflow, Talend, or custom-built pipelines).
  

Job Description & Requirements

In Aperio Technology Solutions, our commitment to how we serve our customers and our breadth of experience and knowledge enables us to better secure customers’ environments, helping customers enhance their overall IT infrastructure, security, and support.

Job Description

• Working hours from 5.30 to 10.30 pm
• Provide support technical assistance to end-users, diagnosis, and troubleshooting of technical problems.
• Deployment, maintenance, upgrading, and support of client computer systems (hardware, software, OS, network, etc.)
• Windows OS, AD, Office 365 configuration and administration, patching & file server management
• Maintain high user satisfaction with excellent customer service, offering solutions to meet clients’ needs.
• IT asset management and other ad-hoc duties will be assigned as and when needed
• Knowledge of Freshwork will be an added advantage.

Job Requirements

• Good knowledge of Windows OS, AD, and Office 365, with basic IT network skillset.
• 2-3 years of relevant working experience, preferably from an SI environment
• Strong problem-solving skills and a positive attitude
• Good coordination and communication skills with internal and external customers
• Able to work independently with minimum supervision
• Excellent customer management skills
• Entry-level candidates are welcome to apply

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 8 years of professional experience as a Frontend Engineer
• Strong proficiency in React/Next.js for web development and/or React Native for mobile
• Familiarity with LLM application development and generative UI/interactive components, particularly for chat-based applications
• Strong understanding of code optimization techniques for improved performance, scalability, reliability, and security
• Excellent collaboration and communication skills to work effectively across teams

**Salary will be commensurate with the candidate's level of experience and qualifications, reflecting our commitment to equitable compensation practices

As a Lead Backend Developer specializing, you will be responsible for designing, developing, and maintaining backend systems that support the integration and optimization of AI models & LLM in trading applications. You will work closely with the AI engineering team to integrate various machine learning models and algorithms into the backend systems to address business needs, ensuring high availability and low latency.

Key Responsibilities:

• Design, develop, and maintain backend systems and services that support AI models, ensuring high availability and low latency
• Integrate machine learning models and algorithms into backend systems for recommendation systems, predictive analytics, and other business applications
• Collaborate with frontend engineer, AI engineer and other stakeholders to identify business problems and design backend solutions
• Develop efficient APIs, ensuring high standards of performance, reliability, and security
• Write comprehensive tests for all developed features to maintain software quality and reliability
• Document system design and API specifications to foster collaboration and transparency

Qualification & Skills:

• 8 years of professional experience as Backend Engineer
• Proficiency in Python/ Typescript
• Strong understanding of database systems, including both SQL and NoSQL, and web development frameworks
• Solid experience in complex system design or architecture building.
• Familiarity with API design principles and best practices.
• Familiarity with caching mechanisms and cache invalidation strategies.
• Experience with cloud infrastructure, preferably AWS or GCP.
• Strong problem-solving, communication, and interpersonal skills.
• Passionate about AI/ML, with a keen interest in LLM technology.

We offer a competitive salary that is commensurate with the experience of the successful candidate

· 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.

Job Description:

We are seeking an experienced AI Algorithm Leader to lead our team in cutting-edge research and development of large language models (LLMs). You will be responsible for pre-training, fine-tuning, and applying large models to various downstream tasks. The ideal candidate should have a solid foundation in algorithms, extensive project experience, and excellent leadership skills.

Responsibilities:

• Build and manage the large model algorithm team, and develop the technology roadmap.
• Deeply involved in the research of core technologies such as large model pre-training, SFT, and reinforcement learning.
• Explore innovative applications of large models in areas such as Agent, RAG, and AIGC.
• Responsible for the product landing of algorithms, transforming research results into real business value.
• Track the forefront of AI technology development and maintain the team's technological leadership.

Requirements:

• Master's degree or above in Computer Science, Mathematics, or a related field.
• 5+ years of algorithm development experience, 3+ years of algorithm team management experience.
• Solid theoretical foundation in machine learning and deep learning, familiar with Transformer, BERT, and other model architectures.
• Rich experience in large model pre-training, SFT, RLHF, etc.
• Familiar with Agent, RAG, AIGC technologies, and have relevant project landing experience.
• Have research experience in NLP, CV fields, and have published relevant papers.
• Familiar with deep learning frameworks such as TensorFlow and PyTorch, and have good programming skills.
• Excellent communication, coordination, and leadership skills, able to lead the team to complete tasks efficiently.
• Prior experience working in a large company is preferred.
• Proficient in chinese in order to alias Mandarin speaking colleagues and customers.

Plus:

• Published high-quality papers at international top conferences.
• Have open-source project or community contribution experience.
• Have in-depth research on large model security and privacy protection.

We Offer:

• Challenging job opportunities and broad development space.
• Opportunities to work with top talents in the industry.
• Competitive salary and benefits.

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.

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

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:

· Develop, maintain and administer tools which will automate operational activities and improve engineering productivity

· Proposing and driving architecture improvements, recommending process improvements

· Find solutions to production issues after root cause analysis

· Automate continuous delivery and on-demand capacity management solutions

· Developing configuration and infrastructure solutions for internal deployments

· Updating, tracking and resolving technical issues

· Evaluate new technology options and vendor products. Ensuring critical system security through the use of best in class security solutions

Requirements:

· 7+ years of technical experience in a similar role architecting and supporting large scale production systems

· Experienced with cloud services such as AWS and GCP

· Experience in large-scaled distributed environments

· Demonstrated robust programming skill in Python, Go, or similar

· Experience with tools such as Saltstack, Terraform, Ansible, Docker, etc

· Proficiency with Linux

· Bachelor's degree in a technical field

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

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.

· 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.

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.

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

Responsibilities

Vendor, Partner, and Supplier Relationship Management

• Strengthen and maintain strong relationships with key vendors, suppliers, and strategic partners to ensure smooth operations and long-term business growth.
• Identify and build partnerships that align with business objectives and growth strategy.

Project Flow and Internal Procedures

• Streamline and optimize project workflows, ensuring that projects are executed on time and within scope.
• Coordinate with internal teams to follow up on procedures, track project statuses, and address any bottlenecks or delays.

Project Ownership and Revenue Growth

• Take ownership of specific projects, including managing timelines, resources, and deliverables.
• Expand current project volumes and initiatives to drive revenue growth.
• Identify opportunities for upselling and cross-selling within existing projects to maximize revenue potential.

VIP Client Relationship Management

• Maintain and strengthen relationships with current VIP clients, ensuring their needs are met and that they receive the highest level of service.
• Work closely with clients to identify opportunities for increasing their mining hash rate and expanding their engagement.

Client Support and Inquiries

• Act as a key point of contact for VIP clients, assisting with inquiries and providing timely responses to client needs.
• Provide tailored support for VIP clients, ensuring their expectations are exceeded and their mining activities are optimized.

Requirements

• 5+ years of experience in business development, account management, or client relations, ideally within the blockchain industry.
• Strong understanding of the cryptocurrency mining industry and products and services.
• Proven experience in managing relationships with high-value clients (VIPs), partners, and vendors.
• Strong project management skills with the ability to track progress, mitigate risks, and ensure project success.
• Excellent communication and negotiation skills, both written and verbal.
• Proactive problem-solving skills and ability to work under pressure in a fast-paced environment.
• Ability to work collaboratively with cross-functional teams to achieve business objectives

As a General Manager of Operations, you will be fully responsible for the strategic planning, business development, team management, and operational affairs of the education collaboration business unit in the Southeast Asian market. This role requires close collaboration with the senior management team to formulate and execute the company's development strategy, driving business growth and increasing market share.

Key Responsibilities:

1. Develop and Execute Market Strategy: Formulate and implement the development strategy for the Southeast Asian market, working with the senior management team to determine the company’s strategic direction and business objectives.
2. Business Development: Lead business expansion efforts in the Southeast Asian market, acquire new clients, and establish and maintain long-term partnerships with customers.
3. Team Leadership: Oversee the operations team, including sales, marketing, and customer service departments, ensuring efficient team operations and achievement of business goals.
4. Budget and Resource Management: Manage budgets and allocate resources effectively to ensure operational efficiency and cost control.
5. Market Analysis: Analyze market trends and monitor competitors to provide data-driven support and recommendations for strategic decision-making.
6. Cross-Department Collaboration: Work closely with other departments to advance product development, marketing, and customer service initiatives.
7. Stakeholder Engagement: Build and maintain strong relationships with government bodies, partners, and industry stakeholders to enhance the company’s visibility and influence.

Requirements:

1. Bachelor's degree or higher, with 8+ years of experience in the enterprise services industry; candidates with a background in the education collaboration sector are preferred.
2. Familiarity with the enterprise services industry, with extensive experience in business development and client management.
3. Demonstrated exceptional leadership and team management capabilities, with the ability to effectively motivate and manage teams to achieve business objectives.
4. Strong market insight and strategic thinking, with the ability to quickly adapt to market changes and make sound decisions.
5. Excellent communication and coordination skills, capable of working effectively with individuals at various levels.
6. Strong business acumen and data analysis capabilities, enabling accurate business decision-making based on market data.
7. High sense of responsibility and strong execution skills, with the ability to perform well under pressure and maintain high productivity in demanding environments.