Head of Data Analytics and Data Science

Funding Societies | Modalku is the largest SME digital finance platform in Southeast Asia. We are licensed and operating in Singapore, Indonesia, Thailand, Malaysia and Vietnam, and backed by Sequoia India (Peak XV), Softbank Vision Fund, Khazanah and SMBC bank amongst many others. Funding Societies | Modalku provides business financing to small and medium-sized enterprises (SMEs), which is funded by individual and institutional investors, as well as payments solutions to SMEs and consumers. Here at Funding Societies | Modalku we live by our core values GETFS: Grow Relentlessly: Strive to become our best, most authentic selves. Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed. Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation. Focus on Impact: Create impact through bias for action and tangible results. Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession. Role Overview We are seeking a passionate and strong leader in Data Analytics and Data Science to lead the strategy, development, and implementation of data-driven solutions across the organisation. You will oversee and manage the end-to-end process, from data collection and analysis through solution deployment and business integration. Key Responsibilities Data Strategy & Vision: Understand key company priorities and translate them into an actionable data strategy that drives data maturity across the organisation, enabling business growth, improved risk management, and enhanced customer experiences. Team Leadership: Lead and mentor the Data Analytics and Data Science domain leads and their respective reportees to build a high-performing data team. Stakeholder Influence: Partner with cross-functional teams such as Data Engineering, Product, Marketing, Sales, Risk, and Finance to drive data-driven initiatives, align on objectives, and ensure effective execution. Data-Driven Business Impact: Initiate new opportunities and continue existing projects where data can deliver analytics recommendations that drive key business metrics, and develop the processes and frameworks to enable this. Capability & Tooling Uplift: Identify and adopt new tools and methods that keep the team's analytics and reporting capabilities current. Risk & Data Governance Oversight: Ensure data practices and reporting meet internal and regulatory standards across markets. Requirements 10+ years of experience in data analytics, data science, or related fields, with at least 2 years in a leadership role. Experience in Financial Services, Fintech, and/or Tech companies, with domain exposure to SME credit risk, is preferred. Proven experience leading and managing teams in a fast-paced, high-growth company or fintech environment. Proficient in SQL, Python or R, and data visualisation tools (e.g., Tableau, Qlik). Experience selecting and implementing analytics and data science…