Data Science Lead Screening

Data Science Lead - Screening

Were looking for a Data Science Lead to join our Screening team in London. 

This role is a unique opportunity to work on building out the Data Science team and machine learning based technical solutions in the Screening team which owns Sanctions Adverse Media and Politically Exposed Persons screening. 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 Wises mission and millions of our customers.
 

About the Role: 

In the Screening Squad we are aiming for an effective and efficient screening system to cover instant transfers for our international order to achieve this we need to make sure the Screening Data Science team is staffed properly and the technology is built in a way to support it. Since the team has only recently started looking into machine learning NLP and GenAI use cases there is a chance to build these systems from the start.

In the near-term the team is mainly focused on bringing both effectiveness and efficiency gains to the Sanctions program by adoption of machine learning and GenAI technologies.

Heres how youll be contributing:
 

• Sanctions Screening System Development

  • Developing efficient and effective Sanctions screening controls

  • Introducing a mixture of real-time and batch processing solutions depending on the product needs

  • Developing technologies to serve Wises diverse international user base

  • Using a mixture of traditional machine learning and NLP systems with GenAI technologies

• Building a team of high performing specialists

  • Working with product managers and engineering leads to understand staffing requirements

  • Hiring specialists

  • Mentoring more junior members of the team on technical and non-technical skillsets

• Performance Testing and Optimisation

  • Evaluating our Screening systems against internal and external benchmarks

  • Identifying and categorising system errors and suggesting technical solutions to rectify these errors

  • Fine-tuning system settings to achieve an optimal balance 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

• Enhancing Learning Processes

  • Integrating active learning strategies to continuously improve model accuracy through feedback loops

• 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

A bit about you: 

• 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

• Knowledge and experience within the Screening domain (Sanctions Politically Exposed Persons Adverse Media)

• 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.

Some extra skills that are great (but not essential):  
 

• 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

Additional Information :

Were people without borders without judgement or prejudice too. We want to work with the best people no matter their background. So if youre passionate about learning new things and keen to join our mission youll fit right in.

Also qualifications arent that important to us. If youve got great experience and youre great at articulating your thinking wed like to hear from you.

And because we believe that diverse teams build better products wed especially love to hear from you if youre from an under-represented demographic.

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were 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 its like to work at Wise visit .

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Remote Work :

No

Employment Type :

Full-time