Data Science Lead - AML Risk

Requirements:

• Experience implementing, training, testing, and evaluating performance of Machine Learning systems
• Strong Python knowledge
• Experience with statistical analysis
• Strong product mindset
• Good communication skills
• Strong problem-solving skills

Nice to Haves:

• Familiarity with automating operational processes via technical solutions, such as Large Language Models
• Willingness to understand operational pain points
• Knowledge and experience within the Financial Crime domain

What You'll Be Doing:

• AML Risk Detection System Development
• Developing efficient AML detection controls using machine learning
• Creating frameworks for controls coverage
• Developing technologies for international user base
• Building a team of specialists
• Understanding staffing requirements
• Hiring specialists
• Mentoring junior team members
• Performance Testing and Optimization
• Evaluating systems against benchmarks
• Developing decisioning layers for trade-offs
• Providing insights on potential outcomes
• Operational Process Development
• Collaborating to refine processes
• Managing projects for model improvement
• Creating systems for investigators
• Deployment and Implementation
• Packaging algorithms for deployment
• Maintaining data gathering processes
• Maintaining Python services

Perks and Benefits:

• Not specified