Job Description
About DKatalis DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem-linked financial services business. DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC. About the role We are hiring a Staff Machine Learning Engineer to help us turn data science work into a reliable, customer-facing product, and we will also consider strong Senior candidates. This is a hands-on senior IC role. At Staff level, you will set technical direction for how we ship and operate ML in production; at Senior level, you will own significant slices of that work and help shape direction alongside the team. About the team and the work You'll join our Data Science team to build the ML systems powering a digital bank serving millions of customers. Current work spans: A broad portfolio of production models across fraud, collections, scoring, and customer-facing features, with active investment in shared monitoring, retraining, and feature infrastructure. Real-time credit and risk decisioning in the loan origination flow. A multi-cloud LLM platform under active build, supporting LLM-backed product features such as intelligent document understanding, agentic assistants, and conversational banking. The constraints are real (regulated environment, customer money, data residency requirements), and the platform is still being shaped, so there is genuine build work to do, not just maintenance. Key Responsibilities: Own and evolve our full-stack ML platform (the unified system through which every model is built,
