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Lead Data Scientist - Sanctions Screening, London
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Client:
Wise
Location:
London, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
150b08452091
Job Views:
2
Posted:
02.05.2025
Expiry Date:
16.06.2025
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Job Description:
Company 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 life 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.
Job Description
About the Role:
Our screening team is responsible for sanctions, PEPs (Politically Exposed Persons) and Adverse Media screening.
The screening team has a name matching service that is routinely tested against an internal benchmarking suite, and annually against external benchmarking suites.
We are looking for someone to own the testing, tuning and optimisation of these matching algorithms. The candidate will own this function - be responsible for the overall testing and tuning strategy, deep dive testing results, understanding how to optimise rules for efficiency and effectiveness and create rules for complex controls.
Here’s how you’ll be contributing:
Automatising algorithm testing on real customer data as well as synthetic data. Packaging the service into a library or deploying it to staging or production environments
Analyse results from exact name matching and fuzzy name matching against internal and external benchmarks
Identify and categorise types of missed cases and map those to known or new issues
Propose technical solutions to reduce the number of missed cases identified
Design an internal test set to evaluate both the precision and recall of the screening engine
Align performance on the test set with real-life production performance
Extend internal benchmarking to new scenarios for better coverage of screening algorithms
Define an overall strategy for testing and tuning
Evaluate the use of an internal benchmarking tool
Evaluate testing capabilities of external vendors in the market to define the most effective method of continuous external benchmarking, processes of governance
Tailor business rules to reduce hit rate, prepare tuning data, reviewing hit reduction strategies and work with product managers, compliance and engineers to ensure roadmap alignment
Tweaking engine configuration to find the sweet spot for precision and recall.
Provide answers on how many historical true positives we would miss based on different optimisations
Work on advanced rules for complicated controls, such as vessel screening
Uncover and action on opportunities to help the Screening operational team scale
Automatising or creating solutions to assist operations in their work
Modify existing tooling introducing LLM assistants to improve the efficiency of agents and speed of case resolution
A bit about you:
Experience implementing, testing and evaluating performance of multiple rules across systems;
Strong Python knowledge. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services;
Strong algorithmic design and testing skills. A big plus for proven experience with name matching algorithms;
Experience with statistical analysis and good presentation skills to drive insight into action;
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.
Some extra skills that are great (but not essential):
Familiarity with automating operational processes through technical solution, for example Large Language Models;
Knowledge of Sanctions and Name Screening Optimisation and Tuning
Experience working in a heavily regulated business domain.
We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in.
Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you.
And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic.
Additional Information
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit.
Keep up to date with life at Wise by following us on and.
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