Staff Applied ML Engineer - Financial Crime

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. Company Description Wise is a global technology company, building the best way to move and manage the world''s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world''s money. For everyone, everywhere. More about our mission and what we offer. Job Description About the role: Wise moves billions across borders every year. Behind every transaction is a decision: is this safe? Our ML systems make that call - at scale, in real time, across every market we operate in. Our Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We''re looking for a Staff Applied ML Engineer to lead this evolution: defining the architecture strategy, shipping production neural models, and building the blueprint that scales across FinCrime domains. This is a greenfield opportunity - you''ll be setting the direction for how Wise applies modern ML to financial crime risk, with strong investment and engagement from senior leadership. How ..... full job details .....