Lead Data Scientist - AML

About the Position

Lead Data Scientist - AML

Wise is a global technology company, building the best way to move and manage the world’s money.

Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world’s money.

For everyone, everywhere.

More about our mission and what we offer.

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Responsibilities

• AML Risk Detection System Development
  • 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
• Working in Cross-Functional Teams
  • Working across functions to own and solve AML related problems at a global scale
  • Mentoring more junior members of the team on technical and non-technical skillsets
• Performance Testing and Optimisation
  • 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
• Operational Process Development
  • 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
• Deployment and Implementation
  • 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

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Requirements

• Core Skills

  • 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

• Secondary Skills

  • 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

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We Offer

• Competitive salary: GBP 90,500 - GBP 127,000 yearly
• Full-time position
• Opportunity to work with cutting-edge technology
• Collaborative and inclusive work environment
• Professional development opportunities

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About the Company

Wise is a global technology company, building the best way to move and manage the world’s money.

Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world’s money.

For everyone, everywhere.

More about our mission and what we offer.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.