Qualifications
The ideal candidate will have:A Master’s or PhD in Data Science, Statistics, Mathematics, or a related field. Proven experience in a leadership role within data science, particularly in AML or financial services. Strong proficiency in programming languages such as Python or R, and experience with data visualization tools. Expertise in machine learning algorithms and statistical modeling. Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively in a fast-paced, dynamic environment.
About the job
Join Wise as a Data Science Lead in our Anti-Money Laundering (AML) Risk team. In this pivotal role, you will spearhead innovative data-driven strategies to enhance our AML risk detection and mitigation efforts. Collaborate with cross-functional teams to analyze complex datasets, develop predictive models, and implement robust risk assessment frameworks that comply with regulations while safeguarding our customers and the integrity of our platform.
Your expertise in data science will be crucial in shaping our AML strategies and driving actionable insights that influence business decisions. Lead a team of talented data scientists and analysts, fostering a culture of continuous improvement and innovation.
About Wise
Wise is a global technology company that provides a seamless and affordable way to send and manage money across borders. With a mission to make money transfer transparent and fair, we are committed to using technology to revolutionize the financial industry. Join us in our journey to change the way people think about money and banking.