London Payments Analytics Lead — Optimize Auth Rates

London Payments Analytics Lead — Optimize Auth Rates

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Analyse payment data to optimise authentication rates and improve payment efficiency.
  • Company: Fast-growing scale-up in the payments industry with a focus on innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Join a dynamic team and help shape the future of payments in London.
  • Why this job: Make a real impact on payment processes and drive commercial success.
  • Qualifications: Experience in data analysis, SQL skills, and a passion for optimising payment systems.

The predicted salary is between 60000 - 80000 £ per year.

Fanvue is seeking a Senior Payment Analyst to optimize authentication rates, decline recovery, and routing logic across a multi‑acquirer payments stack.

You will interrogate complex data using SQL to drive direct commercial impact and reduce processing costs in a high‑growth scale‑up.

Reporting to the Chief Business Operations Officer, you will own KPI dashboards and collaborate with finance to improve renewal success and payment efficiency in London, UK.

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London Payments Analytics Lead — Optimize Auth Rates employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.

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Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace London Payments Analytics Lead — Optimize Auth Rates

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