Who are we?
WorldRemit is changing the way people send money abroad. We’ve taken something complicated and made it simple. Tap the WorldRemit App or click on our website and your international transfer is made – to a bank account, cash pickup, Mobile Money, or airtime top-up. Founded in 2010, we send international remittances from 50 countries to more than 150 countries and we continue to expand our footprint.
Using WorldRemit is easy because we do the hard bit, connecting hundreds of banks, money agents, mobile operators and payment systems around the world. These were never designed to work together, but WorldRemit makes it happen.
WorldRemit has grown on average by 50% year on year and is now processing over £3bn of remittances on an annualised basis. We have raised c.$370 million in funding, currently employ over 800 employees and have offices in London, USA, Philippines, Poland, Australia, New Zealand, Canada, Japan, Hong Kong and other locations.
The journey is just beginning. We believe in faster, simpler, more accessible money transfers. That means building better products and services for our customers.
Changing the world isn’t easy – so we only hire the most talented people. You need to think differently, believe in new solutions to old problems, and have the drive to make them happen. We aim to attract, retain and develop people that can bring to life our values:
You can learn more about our culture and how we work by watching this video on our Careers page
About the role:
As a Machine Learning Engineer, you will be working alongside our product data scientists and data engineers to help apply machine learning throughout the business. We believe data and machine learning is key to help us provide an excellent customer experience. From offering dynamic user journeys to helping to automate manual decisions, there is a machine-learning gap at virtually every level of our organisation. You will work on the process end to end, from understanding the business problem to analysing datasets and finally putting a Machine Learning system in production. Projects you could work on: fraud prevention, anti-money laundering, marketing optimisation and attribution, customer churn prediction and retention, time-series forecasting, pricing and customer service automation.
Complete this application form to apply for this job.