About the company 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 . The role Team you will be working with: AUP (Acceptable Use Policy) team! 🎉 The AUP team designs, builds, and operates the preventative and detective controls that monitor transactions and customer activity. If someone tries to use Wise for prohibited activities, we detect it, review it, and take action. Join us as we shift our strategy from "Policy-First to Risk-Driven" to drive growth. We want to enable all legal activities and minimize friction for legitimate customers, while surgically targeting and neutralizing genuinely illicit, high-risk behaviors. As the Engineering Lead, you will lead a highly collaborative, cross-functional squad, alongside data scientists, analysts, compliance managers, and designers. How we work: We operate with high autonomy, low control, and a belief that the best ideas win. We don’t just hand you a roadmap; you will partner directly with your Product Manager, Compliance Lead, and Lead Data Scientist to define both the product and technical vision for the team. What will you be working on? Risk Detection: Close coverage gaps and scale our detection systems by integrating advanced Machine Learning models and building robust controls to spot AUP violations. Supercharge Operations: Architect automated workflows and intuitive internal tooling to reduce the cost per case and median handling times for our operations analysts. Own the Architecture: Keep our services highly available, resilient, and secure. You’ll ensure we have the right monitoring, observability, and decoupled architectures to scale alongside Wise's massive global volume. Qualifications What do you need? We are fully aware that it is uncommon for a candidate to have all the skills required, and we fully support everyone in learning new skills with us. We value potential, execution, and enthusiasm as much as existing expertise. Engineering Leadership: You have proven experience leading, mentoring, and developing software engineers in an agile environment (either as a Tech Lead or Engineering Manager). Strong Technical Roots: You have a solid engineering background with modern languages and an understanding of frontend frameworks (like React and TypeScript). Distributed Systems at Scale: You have designed, deployed, and maintained scalable, concurrent microservices in a cloud environment. You understand the tradeoffs of high-throughput message processing and asynchronous workflows. Product & Risk Mindset: You don't build tech for the sake of tech. You care about the business impact, understand operational bottlenecks, and can translate complex policy mandates into simple, incremental engineering milestones. Excellent Communication: You can easily align engineers, data scientists, and non-technical business partners (like compliance and operations leads) toward a shared technical vision. Nice to Have: Prior experience working in FinTech, Financial Crime (AML, Sanctions, Fraud, or Policy enforcement). Experience partnering with Data Scientists to productionalize and scale Machine Learning models. Familiarity with Cloud Infrastructure and modern DevOps tooling (AWS, Terraform, Kubernetes, GitHub Actions). Experience building or optimizing high-volume case-management platforms or operational back-office tools. You are already a customer of Wise! Additional information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .

Staff Data Scientist - AML

Wise

Tallinn, eeПолная1 нед. назад

About the company 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 . The role We’re looking for a Staff Data Scientist to join our growing AML Team in Tallinn, Estonia. This role is a unique opportunity to work behind the scenes of company transactions, develop our risk detection and assessment to the next level regarding regional typology understanding and at the same time, provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers. About the Role: The AML team at Wise is dedicated to safeguarding our platform against financial crime, while ensuring seamless service for our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing AML detection systems which have evidenceable regional coverage of different financial crime typologies and red flags. Software engineers, data analysts, data scientists and compliance specialists collaborate on a daily basis to continuously improve our systems and provide support to our AML investigation team. Our vision is: Build a globally scalable AML prevention and detection engine to maintain Wise as a secure environment for our legitimate customers. Utilise machine learning techniques to identify potential risks associated with customer activity. Foster a strong partnership between our AML investigators and the product team to develop solutions that leverage the expertise of AML investigation specialists. Not only meet the requirements set by regulators and auditors but also surpass their expectations. We are looking for a highly skilled Staff Data Scientist to lead technical innovation and drive the development of advanced data science solutions. This role is pivotal in enhancing our AML detection capabilities. Here’s how you’ll be contributing: Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers. Design and build modular detection systems able to detect in an evidenceable way red flags and typologies across different regions where Wise operates. Lead and Collaborate: 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 product offerings. Deploy and Integrate: Develop scalable deployment strategies together with Platform teams and integrate LLMs with AI agents for seamless production use Optimize and Evaluate: Conduct large-scale training and hyperparameter tuning, and define performance metrics to ensure high-quality model outputs. Data Strategy and Management: Design and implement strategies for data collection, curation, and augmentation to support robust model training. Documentation and Reporting: Communicate complex data findings to non-technical stakeholders effectively. Document the development and maintenance processes for models and features. Qualifications A bit about you: Demonstrated expertise (5+ years) in developing and deploying production-grade AI systems and Machine Learning (ML) in financial risk or fraud domains. Technical Proficiency: Skilled in Python, capable of delivering production-ready Python services as required; possesses hands-on experience with neural networks and deep learning models; has comprehensive knowledge of machine learning frameworks such as TensorFlow or PyTorch, as well as AI agent frameworks like LLamaIndex and LangGraph; well-versed in LLM orchestration and MCP usage. Data-driven mindset: skilled in designing data strategies, including data collection, curation, and augmentation, to support model development. Experience with big-data frameworks and working with large scale databases Technical leadership and mentorship: demonstrated ability to guide, mentor and level-up teams on technical aspects, fostering a collaborative and innovative work environment Excellent communication skills, capable of simplifying complex technical concepts for easy understanding; able to adapt communication style to suit different audiences; can effectively engage and advise both technical and non-technical stakeholders with clarity and logic A strong product mindset with the ability to work independently in a cross-functional and cross-team environment; Additional information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .