Mobile Application Developer/Analyst Programmer

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FundPark is a fintech platform specialising in financing solutions for e-Commerce SME businesses. We believe that they are the backbone of the economy as they drive innovation and competition, create jobs, and contribute to economic growth. Unfortunately, traditional financial institutions often fail to serve their unique needs, leaving them without access to the working capital they need to grow and succeed. At FundPark, we're here to change that. Powered by our proprietary credit model, cutting-edge technology, and real-time data, we provide efficient, effective, and flexible funding solutions specifically designed for e-Commerce SMEs to grow their businesses and take advantage of new opportunities as they arise. Our loan disbursement has already crossed $3 billion, helping over 18,000 e-Commerce SMEs to grow since inception. About the Role As the Head of Data, you will spearhead our data strategy and AI initiatives, ensuring alignment with business objectives. You will own the data platform, lead AI R&D, and act as a strategic partner to cross-functional teams, transforming data into actionable insights. This role demands a blend of technical expertise, leadership, and stakeholder management to foster a data-centric culture across global operations. We look forward to having you join our dynamic team. What you need to do Data Strategy & Governance   Develop and execute a data strategy aligned with business goals.   Implement robust data governance frameworks, ensuring compliance and quality.   Establish policies for data management, security, and privacy.  Data Platform Ownership   Oversee the data warehouse, big data platforms (e.g., Hadoop, Spark, Dataworks), and ETL processes.   Ensure scalability, reliability, and efficiency of data infrastructure.   Collaborate with IT to optimize cloud platforms (AWS/Azure/GCP/AliCloud).  AI R&D Leadership   Drive AI/ML innovation in lending, risk management, and operational automation.   Identify use cases, prototype solutions, and deploy models into production.   Promote an AI-first mindset through training and cross-team collaboration.  Stakeholder Partnership   Act as a Data Business Partner for Sales, Product, Credit, Finance, and Operations.   Translate business needs into technical requirements, architecture design, and project roadmaps.   Manage stakeholder expectations and deliver data solutions on time.  Team Leadership & Agile Execution   Lead data engineers, scientists, and analysts, fostering a culture of innovation.   Implement agile methodologies to prioritize tasks and accelerate delivery.   Coordinate with global IT teams for development, testing, and maintenance.  Global Expansion Support   Design data architectures that support multi-regional scalability.   Address regulatory and cultural challenges in new markets. Requirements Education: Degree in Data Science, Computer Science, or related field.   Experience: 12+ years in data management, with 5+ years in leadership roles at internet/lending/fintech companies.   Technical Skills: Expertise in data architecture, big data technologies, AI/ML frameworks and cloud platforms.   Agile Proficiency: Certified Scrum Master or proven experience in agile environments.   Languages: Fluency in Cantonese/Mandarin, and English (written and verbal).   Soft Skills: Strong analytical thinking, problem-solving, and stakeholder management.  Why FundPark Collaborate with a cohesive group of young entrepreneurs working towards peak performance Led and inspired by a team of experienced and visionary industry leaders An exclusive opportunity to be our part owner and share in the Company’s growth and success through participating in our Employee Stock Option Plan Join us at this exciting scale-up stage for ample development and career growth opportunities Benefits Dental insurance, Medical insurance, Five-day work week

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Kody, a fast-growing Fintech specialising in bringing online payments and better financial services to brick and mortar businesses. About the Role At Kody, data is at the heart of our decision-making, and we are looking for a Data Analyst who will not only deliver actionable insights but also empower teams across the business to become more data-driven. In this role, you will be the internal champion for data analytics and reporting, ensuring that Looker is fully utilised as our self-service BI tool. You will mentor and train colleagues from multiple departments, helping them become self-sufficient in accessing and interpreting data. At the same time, you will create and maintain high-impact dashboards that are critical for the business, proactively identifying reporting needs before they arise. This is an ideal opportunity for someone who enjoys translating data into business value, enabling others to work effectively with data, and driving a culture of data literacy. Key Responsibilities Be the primary advocate for data analytics across the business, ensuring that Looker is widely adopted and used effectively. Mentor and train colleagues from multiple functions to use Looker as a self-service analytics tool. Proactively identify business needs and create dashboards that deliver actionable insights. Develop, manage, and optimise Looker models, dashboards, and reports, ensuring they are intuitive and aligned with business objectives. Collaborate closely with stakeholders to understand key challenges and provide data-driven recommendations. Ensure data accuracy, completeness, and integrity within Looker and across reporting structures. Conduct ad-hoc analyses to support strategic initiatives and business growth. Stay up-to-date with best practices in BI, data visualisation, and analytics to continuously improve how we work with data. Requirements A passionate advocate for data with a strong desire to help others make data-driven decisions. Experienced in Looker (or similar BI tools) and comfortable training and supporting non-technical users. A strong communicator who can translate complex data concepts into actionable insights for business teams. Detail-oriented and proactive, with a mindset for continuous improvement and problem-solving. Proficient in SQL and comfortable working with data at scale. Experience with Python or R is a plus but not required. Familiar with data governance, modelling, and best practices to ensure accuracy and consistency. Benefits We're a fast growing, exciting company within a rapidly developing industry. You'll be surrounded by super ambitious individuals who think really big. Great office locations Annual learning and development allowance on training related to your role Every year you'll get 25 days of holiday leave plus an extra day of leave for life events like your birthday Enhanced parental leave

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Conduct credit approvals on all applications including property loans, personal loans and credit card in accordance with authority Assist to ensure that credit activities are conducted in accordance with requirements as stipulated in the credit policies Ensure appropriate infrastructure, resources and systems are in place for credit risk management Collaborate with Sales Department for the criteria of credit approval Review and prepare various reports of credit risk management Support ad-hoc projects and tasks as assigned by superior Requirements Bachelor Degree in Risk Management, Mathematics, Economics or related discipline; or equivalent qualifications at HKQF level 5 Minimum 2 years relevant working experience is preferable Any programming skills will be an advantage  Excellent analytical, communication and interpersonal skills Independent, proactive, detail-oriented and able to work under pressure Candidate with more experience will be considered as Assistant Manager Benefits Attractive remuneration package Career progression opportunities Discretionary performance bonus Medical & Dental insurance  Birthday leave Anniversary leave Study leave Study subsidy scheme Employee property loan / personal loan scheme Numerous other staff benefits