Senior Product Analyst - Screening

🔒 Confidential Employer
Posted 21 April 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£75,000 / year
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

SQL Python Data pipelines Data visualization Analytics Communication skills

FULL DESCRIPTION

Senior Product Analyst - Screening

[Employer hidden — view at passion-project.co.uk] is a global technology company, building the best way to move and manage the world’s money.

We’re looking for a Senior Product Analyst who is passionate about our mission of Money Without Borders to partner with our financial crime product teams to help drive data-driven and innovative growth decisions while helping to combat financial crime.

Job Description

We’re looking for a Senior Product Analyst who is passionate about our mission of Money Without Borders to partner with our financial crime product teams to help drive data-driven and innovative growth decisions while helping to combat financial crime. At [Employer hidden], we strike a critical balance between user experience and the stringent demands of risk prevention.

The Screening team is building a robust control framework that screens customers, counterparties, and transactions across all [Employer hidden] products.  Our systems prevent the onboarding of sanctioned individuals and entities, identify politically exposed persons, and detect adverse media risk - while keeping the customer experience as invisible and frictionless as possible. We ensure that associated risks are thoroughly mitigated and that controls are functioning effectively.

As a Senior Product Analyst, you'll be driving analytics efforts that balances the work between mitigating risk and enabling a smooth customer experience. You’ll collaborate closely with your product managers, engineers and operational teams to bring your insights into real change for our customers and help drive our mission! 

You’ll also be a part of a wider team of over 100 Analysts! You’ll get to collaborate on cross-team projects, develop technical skills and bring ideas about how we can improve analytics across [Employer hidden]

This is an IC2 role. For more information on our Analytics Career Map and levelling structure, click here.

Key Responsibilities:

  • Expose the vast amount of data available to the organisation in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst assistance.
  • Proactively contribute to, own, create, track key metrics and results for the organisation, keeping them accountable throughout the quarter.
  • Support your team by conducting research,  building and maintaining data pipelines, preparing reports, and creating visualisations.
  • Drive discovery analyses by scoping new opportunities and suggesting initiatives to improve our existing controls framework and customer experience.
  • Collaborate with various stakeholders in the organisation and effectively communicate your insights into real change for our customers. 

Qualifications

A BIT ABOUT YOU

  • You have strong quantitative skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas.
  • You have experience with SQL, python/R, dbt (ideally) and building data pipelines.
  • You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple to understand.
  • You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand models
  • Hustler-mentality. You can take work beyond the analysis and get things done
  • You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate confident storytelling ability with data.
  • You have a minimum 3 years of experience analysing data in a professional setting.
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