Description
Wise is a global technology company building the best way to move and manage the world’s money. You will be part of the Anti-Money Laundering (AML) Risk team, developing systems to detect and mitigate Financial Crime globally.
Responsibilities:
- Develop efficient and effective AML detection controls using machine learning and GenAI
- Create frameworks to prove controls coverage at a regional level
- Develop technologies to serve Wise’s diverse international user base
- Work in cross-functional teams to own and solve AML-related problems
- Mentor junior team members on technical and non-technical skills
- Evaluate AML systems against internal and external benchmarks
- Develop decisioning layers to find optimal trade-offs between precision and recall
- Provide data-driven insights on potential outcomes under various scenarios
- Collaborate with operational teams to refine processes and ensure effective feedback integration
- Design and manage projects that utilise excess operational capacity
- Create systems providing in-depth insight to investigators on red flags and typologies
- Package algorithms into deployable libraries and transition them to production environments
- Implement and maintain scheduled processes for data gathering and model retraining
- Maintain production-grade Python services
Qualifications:
- Experience implementing, training, testing, and evaluating machine learning systems
- Strong Python knowledge
- Experience with statistical analysis and experiment design
- Strong product mindset with ability to work independently in a cross-functional environment
- Good communication skills and ability to articulate complex ideas to non-technical individuals
- Strong problem-solving skills with ability to refine problem statements and solve them
Additional Information: Wise is a diverse and inclusive company that values different backgrounds and perspectives.