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 Haves

• 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.
• If you’re passionate about learning new things and keen to join our mission, you’ll fit right in.
• Qualifications aren’t essential, great experience, and ability to articulate your thinking are valued.
• Diverse teams build better products, especially love to hear from individuals from under-represented demographics.