PayOps Analyst
The PayOps Analyst will own the operational health of Mews’ card payment flows, keeping merchants paid accurately and on time as transaction volumes grow. The role exists to catch failures early, resolve incidents properly and turn recurring issues into better controls, reporting and ways of working. With Mews operating across multiple markets and working closely with global payment providers, the scope is broad and the decisions have a direct effect on merchants.
You will sit between our merchants, internal FinTech teams and payment service providers such as Stripe and Adyen. Alongside running daily operations, you will take ownership of PayOps metrics and help the function mature through clearer accountability, stronger runbooks and smarter use of data and AI.
Card payment operations become more complex as markets, providers and transaction volumes grow. We need someone who understands the full transaction lifecycle, knows where failures tend to occur and can design fixes that hold up as volume increases.
What you would do
Monitor payout timeliness, authorisation rates, SLA breaches, dispute prevention readiness and fee accuracy across Stripe, Adyen and other providers.
Own incidents from triage to closure in Jira Service Management, with clear accountability, communication and SLA tracking throughout.
Investigate recurring failures across pay-in and pay-out flows, validate data quality and distinguish provider or system issues from API and reporting delays.
Turn root cause analysis into lasting improvements to controls, processes, dashboards and operating playbooks.
Own weekly KPI reporting and monthly provider performance summaries, giving the PayOps Manager a clear view of trends, risks and priorities.
Coordinate with Customer Support, Product, FinTech R&D, FinCrime and external providers to resolve escalations.
Support operational readiness for provider onboarding, new markets and feature launches.
Maintain the runbook library, track provider SLA performance and raise recurring incidents through the Operational Risk Register.
Draft first-line merchant communications during outages and incidents for approval by the PayOps Manager.
Use AI to surface anomalies sooner, reduce manual administration and create repeatable workflows the wider team can use and check.
What you would bring
Experience in payment operations, ideally within a vertical software platform with embedded payments or a global card acquirer.
Strong knowledge of card acquiring and the full transaction lifecycle, including authorisation, processing, settlement, payout, chargebacks and failure points.
Experience with card-heavy pay-in and pay-out flows across more than one market. The relevance and depth of your experience matter more than a fixed number of years.
Sound judgement during incidents, with the ability to diagnose root causes, prioritise action and design fixes that remain effective as volume grows.
Confidence owning operational KPIs and using data to identify patterns, risks and areas for improvement.
Clear communication with internal teams, merchants and external providers.
Practical AI fluency. You have redesigned parts of your own or your team’s workflow using AI, created approaches others can follow and checked AI-assisted work carefully.
AI Fluency Level 3: In this role, you'll have redesigned parts of how your team or function approaches operational diagnostics and process improvement using AI. You'll have built repeatable workflows — whether for anomaly detection, incident classification, or root cause investigation — that others can follow and improve. And you'll actively question the AI-assisted work: checking anomaly flags against real transaction data, validating root cause suggestions, and knowing when the AI has missed something or suggested a direction that won't hold up as volumes scale.
For more information on AI fluency at Mews, please refer to AI Fluency at Mews: A Comprehensive Guide for Candidates on Confluence
Nice to have
Direct experience with Stripe, Adyen, Airwallex or another global provider.
Familiarity with Jira, Confluence, Slack, Power BI or Databricks.
Experience across adjacent areas such as disputes, financial crime, fraud or transaction monitoring.
Experience in regulated financial services.
Spain
€53.500—€70.000 EUR
Czechia
1 008 000 Kč—1 320 000 Kč CZK
UK
£59,000—£79,000 GBP