Xendit provides payment infrastructure across Southeast Asia, with a focus on Indonesia, the Philippines and Malaysia. We process payments, power marketplaces, disburse payroll and loans, provide KYC solutions, prevent fraud, and help businesses grow exponentially. We serve our customers by providing a suite of world-class APIs, eCommerce platform integrations, and easy to use applications for individual entrepreneurs, SMEs, and enterprises alike.
Our main focus is building the most advanced payment rails for Southeast Asia, with a clear goal in mind — to make payments across and within SEA simple, secure and easy for everyone. We serve thousands of businesses ranging from SMEs to multinational enterprises, and process millions of transactions monthly. We’ve been growing rapidly since our inception in 2015, onboarding hundreds of new customers every month, and backed by global top-10 VCs. We’re proud to be featured on among the fastest growing companies by Y-Combinator.
The Senior Data Scientist will play a crucial role by leading the development and implementation of risk scoring models across the merchant lifecycle and enhancing the effectiveness and accuracy of our risk detection by developing data science components that can be embedded in multiple risk solutions. You will be the subject matter expert for all Risk teams and partners on all analytical topics such as scoring, modeling, experiment design, hypothesis validation, etc.
The role requires strong model development and data analytics skills as well as the ability to explain the scientific concepts, approach and applications to non-technical audiences. Demonstrated experience with developing risk scoring models at entity and transaction level, experience with cards, strong understanding of various modeling techniques and algorithms, and comfort with dealing with large datasets and prospecting for data in an unstructured environment are a must.
You will collaborate closely with multiple teams within Risk and across Xendit such as Portfolio Monitoring, Risk Operations, Product, Engineering, Data Management, etc. and will interact with multiple senior leaders and their orgs. You will be responsible for developing the cutting edge risk detection and mitigation capabilities using data science and enabling Xendit to assume a proactive posture in managing fraud and credit risk.