At Wise, we strive to create a world where money moves freely. Our dedicated Risk and Compliance teams play a crucial role in safeguarding our customers and Wise from fraudulent and criminal activity. We are seeking a talented Senior Data Scientist to lead data-driven initiatives within the risk domain and develop cutting-edge detection and prevention solutions

As a Senior Data Scientist on our Risk team, you will leverage your expertise in data science to innovate and deploy models that enhance our detection capabilities across various risk vectors. Your work will directly influence our ability to safeguard our customers and Wise against malicious actors while maintaining exceptional user experience. You will collaborate closely with cross-functional teams, including engineering, product, and compliance.

Key Responsibilities:

• Lead the development and deployment of advanced machine learning models to enhance our detection of suspicious and fraudulent behaviors across different Wise markets.
• Analyze large volumes of data to identify trends, patterns, and anomalies associated with potential fraudulent and criminal activity.
• Design and implement experiments to evaluate the effectiveness of risk detection systems and continuously improve their performance.
• Collaborate with analysts, compliance and engineers to translate business and regulatory requirements into actionable data insights and solutions.
• Develop robust data pipelines, algorithms, and tools to support real-time detection and response to suspicious activity.
• Stay informed about the latest advancements in data science, machine learning, and risk prevention techniques to ensure state-of-the-art capabilities in the risk domain.
• Mentor and guide junior data scientists, fostering a culture of collaboration and continuous learning within the team.

• Proven experience in a data science role, bonus if experience is related to fraud detection, anti-money laundering, or fintech related domains;
• Strong proficiency in machine learning frameworks and programming languages such as Python, R, or similar.
• Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL).
• Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysis.
• Demonstrated ability to work collaboratively in cross-functional teams and effectively communicate complex technical concepts to non-technical stakeholders.
• A proactive, problem-solving mindset with a passion for protecting users from criminal activities.
• You have a solid knowledge of Python, and are able to make and justify design decisions in your code. You know how to use Git to collaborate with others (e.g. opening Pull Requests on GitHub) and are able to review code. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services;
• You have experience working with compliance in assuring effectiveness of controls;
• You are familiar with a range of model types, and know when and why to use gradient boosting, neural networks, regression, autoencoders, clustering or a blend of these;
• Experience with statistical analysis and good presentation skills to drive insight into action;
• A strong product mindset with the ability to work independently in a cross-functional and cross-team environment;
• Good communication skills and ability to get the point across to non-technical individuals;
• Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them.

Relocation is supported.

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.