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 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 Optimisation
  • Operational Process Development
  • Deployment and Implementation

Perks and Benefits:

  • We’re people without borders — without judgement or prejudice, too, looking to work with the best people
  • Qualifications aren’t that important to us; great experience and the ability to articulate your thinking are
  • Diverse teams build better products, so we especially love to hear from under-represented demographics
AI Summary ✨

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