Data Science Lead - AML Risk

Requirements:

• Experience implementing, training, testing and evaluating performance of Machine Learning systems
• Strong Python knowledge. A big plus for proven familiarity and experience with OOP principles
• Experience with statistical analysis, and ability to produce well-designed experiments
• 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

Nice to Have:

• Familiarity with automating operational processes via technical solutions, for example Large Language Models
• Willingness to get hands dirty with operational side by sides to understand their pain points
• Knowledge and experience within the Financial Crime domain

What You'll Be Doing:

• AML Risk Detection System Development
• Building a team of high performing specialists
• Performance Testing and Optimization
• Operational Process Development
• Deployment and Implementation

Perks and Benefits:

• Opportunity to work on building the lead Data Science team and machine learning solutions
• Direct impact on Wise's mission and millions of customers
• Collaborative work environment
• Diverse and inclusive company culture
• Qualifications not a barrier if you have relevant experience