Payments Fraud Data & Insights (Senior Associate)

Payments Fraud Data & Insights (Senior Associate)

Full-Time 53800 - 62733 £ / year (est.) No working from home possible
PSR Limited

At a Glance

  • Tasks: Manage data collection, analyse trends, and draft reports on APP scams.
  • Company: Join the Payment Systems Regulator, focusing on consumer protection against fraud.
  • Benefits: Enjoy 25 days annual leave, private healthcare, and a non-contributory pension.
  • Other info: This role is based in Edinburgh, Leeds, or London with a hybrid working model.
  • Why this job: Contribute to significant regulatory work while engaging with diverse stakeholders.
  • Qualifications: Experience in data analysis and project delivery within a regulatory environment is essential.

The predicted salary is between 53800 - 62733 £ per year.

This position involves supporting the PSR’s work on APP scams, with a focus on prevention and consumer protection.

Responsibilities

  • Work closely with internal stakeholders (policy, legal, data, communications) to review consultation responses, resolve issues and ensure alignment on the future data reporting approach, methodology and delivery plans.
  • Project‑manage the end‑to‑end delivery process, from data collection through to publication, including managing a dedicated inbox, implementing a data quality framework, overseeing governance processes and proactively identifying and escalating risks.
  • Collaborate with data analysts to analyse submitted data, interpret findings, identify trends and investigate emerging or potential issues.
  • Engage professionally with PSPs and other external stakeholders to clarify data requirements, resolve discrepancies and errors and support effective data submission.
  • Communicate complex data clearly and confidently in plain English, including preparing written responses, drafting reports and presenting findings in senior‑level, working‑level and external stakeholder meetings.
  • Take ownership of drafting the final report, ensuring clear, concise and well‑evidenced findings supported by robust data.
  • Support wider Payment Systems Regulator supervision and policy priorities as required, contributing to related analytical, reporting and regulatory work across the team.

Qualifications

  • Minimum: Data analysis experience with large‑scale and complex datasets; experience in a supervisory, policy or regulatory environment; project delivery experience with the ability to plan, meet deadlines, and understand risks, opportunities and dependencies.
  • Essential: Effective written, oral communication and presentation skills; ability to distil complex issues into succinct messages; highly developed relationship building and influencing skills; effective prioritisation and capacity to manage competing demands; judgment within multidisciplinary teams; ability to consider conflicting views while maintaining strategic aims.

Benefits

  • 25 days annual leave plus bank holidays.
  • Non‑contributory pension (8–12% depending on age) and life assurance at eight times salary.
  • Private healthcare with Bupa, income protection and 24/7 Employee Assistance.
  • 35 hours of paid volunteering annually.
  • Hybrid model: minimum 40% in office each month (50% for senior leaders).
  • Flexible benefits scheme.

We are a Disability Confident Employer and are committed to fostering a diverse and inclusive culture. Applicants with disabilities or long‑term conditions who meet the minimum criteria will be considered for the next stage of recruitment.

Payments Fraud Data & Insights (Senior Associate) employer: PSR Limited

The Payment Systems Regulator offers a competitive salary ranging from £53,800 to £69,000 depending on location. Employees benefit from a non-contributory pension and 35 hours of paid volunteering annually. The team is dedicated to enhancing consumer protection in payment systems.

PSR Limited

Contact Details:

PSR Limited Recruitment Team

We think you need these skills to ace Payments Fraud Data & Insights (Senior Associate)

Communication Skills
Problem-Solving Skills
Attention to Detail
SQL
Automation
Python
Data Governance