Applied Scientist, Fintech (Fraud)

At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Our Applied Scientists at Wolt build and deploy applied science and machine learning solutions to address a wide variety of challenging business problems. Utilizing a spectrum of methodologies including statistical analysis, machine learning, deep learning and operations research, they improve critical processes within Wolt's online delivery platform and business operations. Their contributions significantly impact all 30 countries in which we operate. The work consists of owning applied science use cases as part of a product development team; starting from identifying opportunities, to developing and prototyping a solution, all the way to deploying, maintaining, and improving it in production. We use a variety of technologies and tools including Python, SQL, Snowflake, Flyte, MLflow and Seldon Core to get the job done, and are constantly looking for ways to improve how our applied scientists work. We are looking for an Applied Scientist to be embedded into our cross-functional Payments Tooling team in Fintech, to work together with software engineers, and product, design and analytics people, to develop algorithms and solutions for fraud prevention. Initially, the work focuses on payment fraud but potentially expands to other kinds of fraud seen on the Wolt platform. There are opportunities to work on machine learning models such as risk scoring and identity resolution. This is the first embedded applied scientist role in that team, so here's an opportunity to start something new and set the direction together with the team, besides shaping the future of fraud prevention across Wolt products.

At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.