About the company
Wise is a global technology company, building the best way to move and manage the world’s money.
Responsibilities
- Developing efficient and effective AML detection controls using a mixture of unsupervised, semi supervised and supervised learning with GenAI
- Creating frameworks to prove controls coverage at a regional level
- Developing technologies to serve Wise’s diverse international user base
- Building a team of high performing specialists
- Working with product managers and engineering leads to understand staffing requirements
- Hiring specialists
- Mentoring more junior members of the team on technical and non-technical skillsets
- Evaluating our AML systems against internal and external benchmarks
- Developing decisioning layers to find optimal trade-offs between precision and recall
- Providing data-driven insights on potential outcomes under various scenarios
- Collaborating with operational teams to refine processes, ensuring effective feedback integration into our automation systems
- Designing and managing projects that utilise excess operational capacity, such as manual data labelling for model improvement
- Creating systems which provide in-depth insight to investigators on red flags and typologies present on profiles/transactions
- Packaging algorithms into deployable libraries/objects and transitioning them from staging to production environments
- Implementing and maintaining scheduled processes for data gathering and model retraining using automated pipelines
- Maintaining production-grade Python services
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
- Familiarity with automating operational processes