Wise
Financial Services
DataScienceLead-AMLRisk
Neural analysis suggests this role is
optimal for mid candidates.
“Data Science Lead - AML Risk at Wise. Skills: Data Science Lead, AML Risk, Machine Learning, GenAI, Python. AML Risk Detection System Development. Developing efficient and effective AML detection controls using a mixture of unsupervised, semi-supervised and supervised learning with GenAI”
What You'll Achieve.
keep our customers safe; making sure we can keep our ecosystem free of bad actors in a scalable way; detect and mitigate Financial Crime on a global scale; sustainably support Wise’s growing customer, transaction and product space; prove controls coverage at a regional level; find optimal trade-offs between precision and recall
Industry & Context.
problem solving skills; ability to help refine problem statements and figure out how to solve them
What They're Looking For.
Must Have
Experience implementing, training, testing and evaluating performance of Machine Learning, Python knowledge, Experience with statistical analysis, Ability to produce well-designed, A product mindset, Ability to work independently in a cross-functional and cross-team, Good communication skills, Ability to get the point across to non-technical, problem solving skills, Ability to help refine problem statements and figure out how to solve them
Nice to Have
Proven familiarity and experience with OOP, 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
What You'll Do.
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
Building a team of high performing specialists
Working with product managers and engineering leads to understand staffing requirements
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
How You'll Work.
Team & Collaboration
working with product managers and engineering leads; Collaborating with operational teams
Communication Scope
Good communication skills; ability to get the point across to non-technical
Process & Methodology
Designing and managing projects
Full Job Description
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](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). We’re looking for a Data Science Lead to join our AML Risk team in Tallinn. This role is a unique opportunity to work on building out the lead Data Science team and machine learning based technical solutions in the AML Risk team, which owns AML detection across all of the Wise licenses. This is an exciting opportunity to develop the program in a global company. Your work will allow Wise to keep our customers safe and making sure we can keep our ecosystem free of bad actors in a scalable way. What you build will have a direct impact on [Wise’s mission](https://www.transferwise.jobs/what-we-do/) and millions of our customers. About the Role: In the Anti-Money Laundering (AML) Risk team we are developing systems which are a mixture of unsupervised and supervised learning, with GenAI to detect and mitigate Financial Crime on a global scale. You will be making sure the AML Risk Data Science team is well equipped and working on cutting-edge technology to sustainably support Wise’s growing customer, transaction and product space. You will be stepping into an already functioning, but growing product team. Here’s how you’ll be contributing: * 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 ser
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