Description
We are looking for a Data Science Lead to join our AML Risk team in London. This role involves building out the lead Data Science team and machine learning-based technical solutions to detect and mitigate Financial Crime globally.
Responsibilities:
- Develop efficient and effective AML detection controls using a mixture of unsupervised, semi-supervised, and supervised learning with GenAI
- Create frameworks to prove controls coverage at a regional level
- Develop technologies to serve Wise's diverse international user base
- Build a team of high-performing specialists
- Evaluate our AML systems against internal and external benchmarks
- Collaborate with operational teams to refine processes and ensure effective feedback integration into our automation systems
Requirements:
- Experience implementing, training, testing, and evaluating performance of Machine Learning systems
- Strong Python knowledge
- Experience with statistical analysis and ability to produce well-designed experiments
- 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
Nice to have:
- Familiarity with automating operational processes via technical solutions
- Knowledge and experience within the Financial Crime domain