Senior Manager, Data Analytics and Data Science

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provide business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. Here at Funding Societies | Modalku, we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• 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.

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 organization. This role will oversee and manage the end-to-end process, from data collection, analysis, solution deployment, and business integration.

What you will do:

• Data Strategy & Vision: Understand key company priorities and translate them into an actionable Data strategy to drive data maturity across the organization, enabling business growth, improving risk management, and enhancing customer experiences.
• Team Leadership: Lead and mentor the Data Analytics and Data Science domain leads and their respective reportees to develop a high-performance data team.
• Influence Stakeholders: 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 to Drive Business Impact: Initiate new opportunities and continue existing projects where data can deliver analytics recommendations to drive key business metrics, and develop processes and frameworks to enable this.

What we are looking for:

• At least 7+ years of experience in data analytics, data science, or related fields, with at least 3 years in a leadership role. Experience in Financial Services, Fintech, and/or Tech companies and domain exposure to SME credit risk is preferred.
• Proven experience leading and managing teams in a fast-paced, high-growth company or fintech environment. Experience being a manager of managers is preferred.
• Proficient in SQL, Python or R, and data visualization tools (e.g., Tableau, Qlik). Experience selecting and implementing tools for analytics and data science is preferred.
• Ability to translate complex data insights into actionable business strategies and influence stakeholders.
• Excellent communication skills, capable of presenting insights to non-technical stakeholders and influencing strategic decisions.
• Excellent problem-solving and critical thinking skills in a structured fashion.
• Strong prioritization abilities according to business needs and constraints.

Benefits:

• Time off - We encourage our employees to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country, including special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back control of work & life to our people. We trust our employees and provide the space to accommodate individual working styles and personal lives.
• Medical Benefits - We offer health insurance coverage for our employees and dependents, ensuring our team can focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We recognize that productivity is linked to mental and physical health. Hence, we have Wellness Wednesdays and partner with providers for well-being coaching, along with our Great FSMK Workout sessions to promote health and fitness.
• Tech Support - We provide a company laptop and the best possible support for the right equipment/tools to enable high productivity.