Staff Data Scientist - AML

• Join Wise’s growing AML team in London, working behind the scenes of company transactions. • Develop risk detection and assessment to the next level, particularly around regional typology understanding. • Keep the service seamless for legitimate customers while safeguarding the platform against financial crime. • Lead technical innovation and drive the development of advanced data science solutions that enhance AML detection. • Work with cutting-edge machine learning, real-time transaction monitoring, and data analysis. • Collaborate daily with software engineers, data analysts, data scientists, and compliance specialists, and support the AML investigation team. • Build a globally scalable AML prevention and detection engine that not only meets regulator and auditor requirements but surpasses them. • Work from London on a hybrid basis, with visa and relocation support available.

• Bring 5+ years of demonstrated expertise developing and deploying production-grade AI and machine learning systems in financial risk or fraud domains. • Work skilfully in Python and deliver production-ready Python services when needed. • Bring hands-on experience with neural networks and deep learning models. • Bring comprehensive knowledge of machine learning frameworks such as TensorFlow or PyTorch. • Work with AI agent frameworks such as LlamaIndex and LangGraph. • Stay well-versed in LLM orchestration and MCP usage. • Design data strategies covering collection, curation, and augmentation to support model development. • Bring experience with big-data frameworks and large scale databases. • Guide, mentor, and level up teams on technical matters, fostering a collaborative and innovative environment. • Simplify complex technical concepts for any audience, advising technical and non-technical stakeholders with clarity. • Bring a strong product mindset and work independently across cross-functional and cross-team settings.

• Bring experience of graph-based models and anomaly detection alongside neural networks and Transformers. • Know how financial crime typologies and red flags differ across regions. • Bring experience integrating LLMs with AI agents for production use. • Work closely with platform teams on scalable deployment strategies. • Bring experience of large-scale training and hyperparameter tuning. • Enjoy partnering directly with investigation specialists to turn their expertise into product.

• Lead the development and deployment of machine learning models including neural networks, anomaly detection, graph-based models, and Transformers. • Design and build modular detection systems that flag red flags and typologies across every region Wise operates in, in an evidenceable way. • Mentor team members and promote adoption of AI workflows for automation across the business. • Collaborate with cross-functional teams to integrate data science solutions into AML detection products. • Develop scalable deployment strategies with Platform teams and integrate LLMs with AI agents for production use. • Conduct large-scale training and hyperparameter tuning, defining performance metrics that keep model outputs high quality. • Design and implement strategies for data collection, curation, and augmentation to support robust model training. • Communicate complex data findings to non-technical stakeholders and document model and feature development processes.

We have been Wise customers for years and have always had a great experience. We love their transparent approach in everything they do, from showing the correct exchange rates to disclosing all their fees, and even being honest about how they work. Founded in 2010 in London, Wise is now a publicly traded company operating in over 160 countries, generating 1.2+ billion pounds in revenue (2025) and is highly profitable. What we especially love at Wise is their work from anywhere policy after 6 months: Basically you can remotely work from (almost) anywhere in the world for up to 90 days a year. As they are solving a massive problem and are strongly mission-driven, we are sure that any individual passionate about working on complex, impactful problems in sending money globally efficiently, while continuing to work on the much-loved Wise solutions, will love working there.

• Earn £118,500 to £164,000 a year. • Receive stock options in a profitable company. • Work under a hybrid model that covers working from home, working overseas, school plays, and life admin, because flexibility is treated as essential. • Spend an annual personal development budget on books, courses, or conferences. • Get visa and relocation support if you need it. • Lead technical innovation on systems that protect millions of customers. • Join a truly international team that treats diversity, equity, and inclusion as central to how it works.

Wise is a global technology company building the best way to move and manage the world’s money, with minimum fees, maximum ease, and full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise exists to make their lives easier and save them money. Its AML team safeguards the platform against financial crime while keeping the service seamless for legitimate customers, bringing together software engineers, data analysts, data scientists, and compliance specialists. The team aims to build a globally scalable AML prevention and detection engine that surpasses what regulators and auditors expect. Wise builds money without borders and without judgement or prejudice.