Payment Operations Analyst

Swan is Europe’s embedded banking specialist. We empower software companies to embed banking features like accounts, cards, and payments directly into their products, under their own brand.Swan processes over €1.5 billion in monthly transactions for more than 150 companies - like Pennylane, Indy, Agicap, Libeo, and Lucca. Founded in 2019, the company has received growth capital from leading investors such as Lakestar, Accel, Creandum, Bpifrance and Eight Roads. Swan is a principal member of Mastercard and a licensed financial institution, regulated by the French banking authority (ACPR).

The Payment Group at Swan builds and operates the banking products and platform that power cash collection, cash storage, and money movements for all Swan financial products. Our goal is to hide the complexities of handling money from Swan's partners and end customers.

Credit transfers, direct debits, and card transactions are processed straight through. Less than 0.001% of transactions need a manual action.

Incidents, exceptions, disputes, partner escalations, and controls: the cases a rule can't decide. That's where judgment matters.

Banking Operations is a dedicated Product & Tech squad. Its job is to make your work easier and to automate what's still manual: reconciliation, cantonnement, seizures, statements, fees. You are its main source of requirements and its first user.

Our Payment Operations Efficiency & AI Automation team develops the AI agents you work with and builds complex standard operating procedures (SOPs). They support you day to day, and you tell them where the next agent should go.

This is how we stay small and mighty. Volumes grow faster than the team, so each analyst focuses on what a machine can't do yet, and uses AI every day to go faster.

• End-to-end resolution of incidents with internal teams (Engineering, Compliance, Product) and external partners (partner banks, card processor, Mastercard, card manufacturer)

• Clearing vs. settlement controls and reconciliation breaks

• Day-to-day relationships with Swan's financial partners

• Execution of the rare non-STP transactions

• Card disputes and chargebacks

• Physical card stock with our card manufacturer

• Level-1 controls on payment flows and on the automated cantonnement process

• Mastercard and X-Pay (Apple Pay, Google Pay) performance and fee reports

• Operational procedures, with the Efficiency & AI Automation team on complex SOPs

• Own the last mile: exceptions and incidents, from first alert to root cause

• Use AI agents every day to investigate, reconcile, control, and document, and give feedback to make them better

• Turn every repetitive task into a clear request for Banking Operations or the Efficiency & AI Automation team, test what ships, and retire the manual workaround

• Be the go-to payment expert for Customer Support, Product Implementation Managers, and Product Managers

• Lead improvement projects and share what you learn with the team

✨ You’re a great match if:

• Automation reflex: you hate doing the same thing twice

• AI fluency: you already use AI tools in your work and know their limits

• Rigorous and analytical, with good judgment on edge cases and on when to escalate

• Comfortable with data and BI tools (e.g., Metabase); SQL is a plus

• Clear written and verbal communication

• Ownership: small team, broad scope, you take things to the end

• Fluent in English, French is a plus

• A payments or banking background (PSP, EMI, bank) is a plus

It’s okay if you don’t tick all the boxes — don’t let imposter syndrome prevent you from applying! 🙌 

Swan is committed to providing a caring work environment for all employees, regardless of age, sex, disability, sexual orientation, race, religion, or belief.

When it comes to recruitment, we’re interested in your work experience, skills, and overall personality. Because diversity makes the workplace stronger and is necessary for Swan’s success, we are intensifying efforts to incorporate concrete actions to help us improve in this area.

• Talent Acquisition Specialist interview (30min)

• Hiring Manager interview (1h)

• Case study/Technical case (1h): Case (30 min) + Fit interview (N+2) (30 min)

• Peer Interview (1h)