About UsDuotech is a Singapore-based technology company specialising in the consulting, design and engineering of customised software solutions and mobile applications. We help organisations drive innovation, improve operational efficiency and strengthen their competitive advantage through tailored, scalable technology solutions.Our team of experienced software experts works closely with clients to understand their unique business challenges and deliver streamlined, high-impact solutions that enhance productivity and support sustainable growth.
About the role
We are looking for a Data Product Manager who combines strong technical understanding with solid business insight. You will be responsible for planning and implementing user behavior data tracking and application systems across the company’s business modules. Y
Key ResponsibilitiesPlan and manage the company-wide data tracking system, including defining event models, field standards, and data collection processes.Coordinate with product and engineering teams to implement tracking projects, ensuring data accuracy, structural consistency, and traceability.Design and drive the development of user profiling and tagging systems to enable segmentation and personalized marketing activation.Support core data application scenarios such as user analysis, retention analysis, A/B testing, and BI reporting.Stay up to date with mainstream data application platforms (e.g., Sensors Data, GrowingIO, Mixpanel, Amplitude), and continuously optimize internal data systems.Oversee project timelines and cross-functional collaboration to ensure on-time delivery of data collection and application projects.
RequirementsBachelor’s degree or above in Computer Science, Information Management, Statistics, or a related field.3+ years of experience in data product or growth product management, with familiarity in tracking systems and event model design.Strong understanding of user profiling, tagging systems, segmentation, and marketing automation logic.Knowledge of common data analysis and BI architectures, with the ability to collaborate effectively with engineers and analysts.Excellent project management and cross-department communication skills.
About Us
Duotech is a Singapore-based technology company specialising in the consulting, design and engineering of customised software solutions and mobile applications. We help organisations drive innovation, improve operational efficiency and strengthen their competitive advantage through tailored, scalable technology solutions.Our team of experienced software experts works closely with clients to understand their unique business challenges and deliver streamlined, high-impact solutions that enhance productivity and support sustainable growth.
Role OverviewThis role operates at the intersection of project coordination, data analytics, and operational reporting in HR functions. This position is ideal for a detail-oriented and analytical professional who enjoys working with data, enhancing reporting processes, and supporting cross-functional initiatives within a multi-country environment.
Key Responsibilities▸ Support coordination of cross-functional project initiatives, ensuring key milestones, deliverables, and dependencies are properly tracked.▸ Maintain project trackers, action item logs, and status updates across multiple HR projects.▸ Follow up with stakeholders to ensure timely updates and progress on key initiatives.▸ Assist in maintaining project documentation, governance materials, and review updates.▸ Prepare and maintain HR dashboards covering key workforce metrics such as headcount, attrition, recruitment pipeline, and initiative status.▸ Translate workforce data into clear and concise summaries for HR leadership and stakeholders.▸ Ensure data accuracy and consistency across HR reporting outputs.
Reporting Automation & Data Management▸ Support efforts to streamline and automate HR reporting processes using available tools and scripts.▸ Build and maintain structured data templates and reporting frameworks to improve efficiency.▸ Work with HR systems and data sources to consolidate and prepare datasets for reporting and analysis.▸ Assist in maintaining data quality and documentation for HR reporting.
Process Documentation & Continuous Improvement▸ Document HR processes, reporting workflows, and operational procedures in a structured manner.▸ Develop process flow diagrams and support the maintenance of HR documentation repositories.▸ Identify opportunities to improve HR reporting processes, data accuracy, and operational efficiency.
Qualifications & ExperienceBachelor's degree or above in Human Resources, Business Administration, Data Analytics, Information Systems, or a related field.3–5 years of experience in project coordination, data reporting, or analytics-related roles.Experience supporting operational projects or reporting processes in a structured environment.Able to use english and chinese as daily working language to work with chinese-speaking stakeholdersExposure to HR data, workforce reporting, or HR systems is advantageous.Experience in using lark is a plus
About UsDuotech is a Singapore-based technology company specialising in the consulting, design and engineering of customised software solutions and mobile applications. We help organisations drive innovation, improve operational efficiency and strengthen their competitive advantage through tailored, scalable technology solutions.Our team of experienced software experts works closely with clients to understand their unique business challenges and deliver streamlined, high-impact solutions that enhance productivity and support sustainable growth.
Job OverviewWe are seeking an experienced Wallet Product Operations & Growth Lead based in Singapore to drive the next phase of our wallet business. This role owns end-to-end user growth, ecosystem operations, and commercialization strategy, with a strong focus on scaling card payments and wealth management product lines.
Key ResponsibilitiesDevelop the overall wallet operations strategy, quarterly/annual goals, and key execution plans, and be accountable for business outcomes.Establish efficient team collaboration processes and operational management systems to enhance overall execution capabilities and business acumen.User Engagement & Lifecycle Management: Design and implement user operations systems, leveraging incentives, campaign operations, and outreach to improve user activity and retention.Card Spending Business Growth: Lead growth strategies for virtual/physical card services, expand online and offline consumption scenarios and merchant partnerships, and increase transaction volume and user frequency.Wealth Management Business Growth: Plan and drive the operations of wealth management and yield products, overseeing product promotion and campaign planning from ideation to execution.
Qualifications• Bachelor’s degree or higher, preferably in finance, business, marketing, or a related field.• 5+ years of experience in internet finance, payments, or digital asset management, with a proven track record in wallet, payment, or DeFi product operations.• At least 2 years of team management experience, with a successful record of leading small teams to achieve business goals.• Proficient in data-driven decision-making, with the ability to conduct in-depth business analysis using data analytics tools.• Deep understanding of the Web3 ecosystem and the payments industry, with strong business acumen.• Strong communication and interpersonal skills, fluent in both Chinese and English (English as a working language).
About Us:Duotech is a Singapore-based technology company specialising in the consulting, design and engineering of customised software solutions and mobile applications. We help organisations drive innovation, improve operational efficiency and strengthen their competitive advantage through tailored, scalable technology solutions.Our team of experienced software experts works closely with clients to understand their unique business challenges and deliver streamlined, high-impact solutions that enhance productivity and support sustainable growth.
Role Overview:As a Data Analyst in the Dealing Team, you will act as a strategic partner in driving data-informed decisions on real-time trading actions. Your primary mission is to provide actionable insights and performance-driven analysis to support client trading management – including client profiling, behavioral modeling, trade evaluation, and real-time liquidation strategies. This is a hands-on role requiring strong analytical skills, business sense, and the ability to turn data into immediate, high-impact decisions.
Key Responsibilities:Conduct quantitative risk assessments for high-profitability clients, and advise senior management on order-flow routing decisions.Enhance and develop the Trading Book internalization system to optimize the company’s risk–return profile.Oversee market risk by managing hedging of book exposures to liquidity providers (LPs) in line with management directives.Analyze client trading behavior across different segments to identify patterns, risk profiles, and strategic opportunities.Support the Dealing team in real time by delivering data-backed recommendations on liquidation decisions, hedging actions, and trade exposure assessments.Build dashboards and monitoring tools to track real-time client activity, market impact, and internal position exposure.Collaborate with Product, Risk, and Engineering teams to ensure analytics align with business objectives and system capabilities.Perform deep-dive investigations into high-PNL-impact events, abnormal trading behaviors, or strategy loopholes.Analyze trade lifecycle metrics—such as entry/exit timing, slippage, and holding time—to support pricing and execution optimization.Assist in refining internal trading policies based on behavioral trends and market impact.
Qualifications:Minimum 3+ years of experience in trading analytics, brokerage, or data roles related to real-time trading activity.Proficiency in SQL (including complex queries, joins, and performance optimization).Experience in Python for data processing, statistical analysis, and automation scripting.Solid knowledge of trading products (e.g. FX, CFDs, derivatives) and client behavior in leveraged markets.Understanding of trading operations, including exposure management, pricing, slippage, and market depth, is highly advantageous.
About Us
Duotech is a Singapore-based technology company specialising in the consulting, design and engineering of customised software solutions and mobile applications. We help organisations drive innovation, improve operational efficiency and strengthen their competitive advantage through tailored, scalable technology solutions.Our team of experienced software experts works closely with clients to understand their unique business challenges and deliver streamlined, high-impact solutions that enhance productivity and support sustainable growth.
About the Role
We are looking for a data enthusiast who is passionate about databases to join us as a key contributor in building our company’s data governance framework. You will work closely with backend engineers, product managers, and data analysts from various business units to drive database standardization, data visualization, and data reliability initiatives.
You are not just a developer — you are a “data guardian” who ensures that data is clear, organized, and trustworthy.
Key ResponsibilitiesLeverage data governance platforms (e.g., DataHub, Collibra) to ingest and manage metadata from databases (e.g., MySQL), and build and maintain an enterprise-grade data catalog.Define and implement automated data quality frameworks using appropriate tools to ensure the accuracy, reliability, and availability of critical data assets.Design, implement, and validate event tracking strategies (e.g., Sensors Data, GrowingIO, or in-house systems) across business modules, ensuring data accuracy, consistency, and traceability.Contribute to the establishment and adoption of database design standards (including naming conventions, indexing strategies, documentation, and schema design) to drive consistency and scalability.Classify and manage business data assets, including database categorization, table labeling (e.g., primary/replica/sensitive), and the establishment of master data (single source of truth) frameworks.Partner with product, engineering, analytics, and compliance teams to align on data definitions, metrics, and governance standards, embedding best practices throughout the development lifecycle.
QualificationsBachelor’s degree or above in Computer Science, Software Engineering, or a related data discipline.3+ years of experience in data development, with hands-on expertise in complex data modeling and analytical logic; experience in finance, insurance, or securities industries is preferred.Strong understanding of data management concepts, including metadata, master data, data quality, and data lineage.Proficient in relational databases such as MySQL or PostgreSQL, with the ability to understand schema design, field logic, and database best practices.Skilled in Python and/or Shell scripting, with experience in configuring DataHub metadata ingestion or developing data quality rules using Great Expectations (GE).
