Senior 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:

• We’re people without borders — without judgment or prejudice, too. We want to work with the best people, no matter their background
• Qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you
• We believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic