Senior Data Scientist

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. We are seeking a highly motivated and skilled Senior Data Scientist to join our dynamic team at Funding Societies. You will have the opportunity to work with a diverse team of experts in a collaborative and innovative environment. In this role, you will be responsible for analyzing complex datasets, developing predictive models, and providing insights that drive business decisions. What you will do:  Model Development & Deployment Design, build, and productionise advanced machine learning models for credit scoring, risk profiling, fraud detection, and customer segmentation. Calibrate and enhance existing scoring logic, model parameters, and business rules to improve predictive performance and business impact. Ensure all models are interpretable, robust, and aligned with regulatory and operational standards. Analytical Insights & Impact Perform deep-dive analyses to uncover trends and actionable insights to improve model performance and product strategy. Translate findings into clear, data-driven narratives for business stakeholders, supporting decisions with strong analytical justification. Develop self-serve tools, dashboards, and model monitoring frameworks to ensure transparency and measurable impact. Model Infrastructure & MLOps Build and maintain scalable model pipelines and infrastructure to support the end-to-end lifecycle: training, validation, deployment, and monitoring. Automate workflows to reduce operational overhead and enhance reproducibility and governance of models in production. Leadership & Mentorship Mentor junior data scientists and analysts through structured guidance and technical reviews. Lead high-impact data science initiatives from problem scoping to final delivery, ensuring timelines, quality, and alignment with strategic priorities. Requirements 5+ years of experience in data science, preferably within the fintech or financial services industry. Proven experience in developing and deploying machine learning models in a production environment. Strong background in statistical analysis and machine learning. Expert in credit modelling and risk management would be an added advantage Benefits Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries. Flexible working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life. Medical benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their backs for their loved ones too. Mental health and wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we organize org-wide fitness initiatives and engage partners to provide well-being coaching. Tech support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity Interested to know more about us? Learn about our Stories here.