Senior Payment Analyst

Fanvue LLC; Greater London; On-site; GBP 50,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Ownership from day one

Fast-moving team with autonomy

Direct line of sight to outcomes

AI-native working environment

Wellbeing partnerships

Job summary

Fanvue is seeking an analytics-focused payments expert to own our payments function. You will turn raw data into decisions, optimise auth rates, adjust routing, and manage reconciliation across acquirers.

This role will drive measurable revenue impact from day one and requires strong SQL and hands-on data wrangling in a fast-moving environment. You will build a KPI dashboard and communicate insights to senior stakeholders, collaborating with Finance and Product.

Qualifications

• Strong SQL skills and ability to query and model large data sets.
• Experience working with high-risk payments and multi-acquirer setups.
• Ability to form hypotheses, run experiments, and iterate conclusions.
• Comfortable dealing with messy, unstructured data from multiple sources.

Responsibilities

• Diagnose and recover declined transactions by analysing decline codes and retry logic across acquirers.
• Build and optimise intelligent routing rules based on card type and user behavior.
• Map per-transaction COGS across processors, gateways, FX fees, and refunds, then reduce it.
• Own daily reconciliation with Finance across multiple acquirer data formats.
• Diagnose MIT/renewal auth failures and improve renewal success rates.
• Identify friction in the payment journey and flag findings to Product and Engineering.
• Build and maintain a live payments KPI dashboard covering auth rates, declines, cost per transaction, and chargebacks.

Skills

SQL

High-risk payments

Data analysis

Data warehouse

Stakeholder communication

Self-starting

Job description

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-risk payments (multi-acquirer setups). This is not "Stripe but with more chargebacks", the nuances of our environment are fundamental to the role.
• SQL-proficient and self-sufficient. You pull your own queries, build your own views, and work directly in the data warehouse without waiting for anyone else.
• Comfortable working with messy, inconsistent data from multiple acquirers: webhook responses, SFTP files, acquirer statements, spreadsheets with no schema. You don't need clean data handed to you.
• Can form a hypothesis, run an experiment, read the outcome, and adjust, in a continuous loop. The core of this role is judgement-heavy, not process-heavy.
• A communicator who can take complex data findings and translate them into clear recommendations for senior stakeholders without burying the point in caveats.
• Self-starting on a clean sheet. You can build structure and cadence in a role without an existing playbook.
• We care about judgement and analytical depth, not credentials.

You'll Thrive Here If

• You love living in data and finding the discrepancy between what you expected and what happened
• You want your analysis to have immediate, visible commercial impact
• You enjoy building from scratch rather than inheriting a playbook
• You're motivated by making things measurably better, not just reporting on them

You'll Struggle Here If

• You need clean, structured datasets handed to you before you can work
• You're uncomfortable presenting findings and recommendations to senior stakeholders
• You prefer process-heavy environments with rigid frameworks
• You need close supervision to stay on track

Why Join Fanvue

• Competitive salary
• Ownership from day one
• Fast-moving team with real autonomy
• Direct line of sight to outcomes and visible impact
• AI-native working environment
• Access to gyms, studios, wellbeing partners, and premium wellbeing apps
• Recognised in the Sunday Times Best Places to Work, two years running
• Winner of an International Business award for fastest-growing company

Fanvue is for Everyone

We believe diverse teams build better products, and if you are excited by the role but do not tick every box, we still encourage you to apply. We hire on potential, mindset, and what you will build, not just where you have been.