AP Data Scientist - Financial Crime

Our Purpose Mastercard powers economies and empowers people in 200 countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary AP Data Scientist - Financial Crime Lead Data Scientist – Financial Crime Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview In the Financial Crime Solutions (FCS) team at Mastercard, we build and deliver products and services powered by payment data to detect and prevent financial crime. We are an award winning team, combining advanced data science with deep payment expertise to help financial institutions combat fraud, scams, and money laundering by uncovering the criminal behaviours that drive them. We are now building a new Centre of Excellence in Asia-Pacific, designed to act as a regional hub for the Cyber & FCS vertical. The Centre will drive scalable growth and robust delivery tailored to APAC priorities, and strengthen Mastercard’s leadership in anti scam and fraud prevention through thought leadership and industry engagement. Role As a Lead Data Scientist, you will be a core contributor to a newly established Centre of Excellence, building and maintaining data science models that help detect fraud, scams, and money laundering using payments data. In the research discipline you will help build systems that expose money laundering and detect fraud as well as work with the other data scientists and clients to understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with the regional team. A key aspect of this role is building and sustaining local data science capabilities within the Centre of Excellence, ensuring we can effectively support customers across Asia Pacific while remaining closely aligned with global strategy and guidance. This includes acting as regional experts in the development, maintenance, and application of financial crime models, enabling timely, context aware support for our regional clients. In this position, you will: • Perform proof-of-concept projects, engage in product design and build prototypes. • Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products. • Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data. • Think about how derived insights can be turned into new products and services we can offer to external clients. • Be ready to learn new technologies as required and engage with various technology stacks. • Write white papers, patents, and client facing data visualisations. • Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models. • Act as a regional expert in building, maintaining, and evolving financial crime models, ensuring they remain effective, well understood, and appropriately governed. • ... (truncated, view full listing at source)