Join us in redefining the creator economy with AI

Fanvue is one of the fastest-growing creator monetisation platforms globally. We're an AI-powered, creator-first platform helping creators connect, engage, and earn directly from their audiences at scale. Fanvue has surpassed $200M+ in annual recurring revenue, with triple-digit year-on-year growth, supporting hundreds of thousands of creators and millions of fans worldwide.

We process tens of millions of pounds per month across a multi-acquirer, multi-MID payments stack, and we need someone whose entire job is to interrogate the data, find what's broken, and fix it. This is an analytical operations role where your work has direct, measurable impact on revenue and margin every single month.

💰 £50,000-£90,000

📍 Salary based on London. Other locations may vary.

🎯 The Role

You will be the analytical engine behind Fanvue's payments function. You'll work directly with the CBOO to turn raw payments data into real decisions. Auth rates, decline patterns, routing logic, processing costs, reconciliation accuracy: you'll own all of it, continuously, not as a one-off project.

One focused week of payments optimisation drove a significant increase in transaction fee revenue. That gain is not being sustained or built on, because nobody owns it. You will.

🚀 What You'll Do

• Diagnose and recover declined transactions by analysing decline codes, retry logic, and timing across acquirers

• Build and optimise intelligent routing rules based on card type, user behaviour, spend value, and platform activity

• Map per-transaction COGS across every processor, gateway, FX fee, scheme fee, refund, and chargeback, then reduce it

• Own daily reconciliation alongside Finance, identifying and closing gaps across multiple acquirer data formats

• Diagnose MIT/renewal auth failures and systematically improve renewal success rates

• Identify friction and drop-off in the payment journey and flag findings to Product and Engineering

• Build and maintain a live payments KPI dashboard covering auth rates, decline breakdowns, cost per transaction, chargeback ratios, and retry uplift

👀 Who You Are

• Deep experience in high-ri