Payment Operations Efficiency & AI Automation
Swanio
| Company | Swanio |
| Category | Data & Analytics |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 21 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (teamtailor) |
Description
About 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). ✨ Summary The Payment group at Swan leverages industry knowledge, payments expertise, and general acumen to build and operate the banking products & platform that power money movements for all Swan financial products. Ultimately, the group is working toward a future in which all of the complexities that come with handling money (e.g., adopting new payment methods, booking and reconciling entries - technical vs. accounting vs. cash, integrating with banks and financial partners globally, addressing regulatory obligations, etc.) is hidden from Swan's partners and end-users. The Payment Operations team is accountable for the daily run of Swan's payment engine & operations. Specifically, they manage: Banking Transactions (Credit Transfers, Direct Debits, Cards, etc.) End-to-end support & resolution of banking transactions-related incidents with internal (Engineering, Compliance, Product, etc.) and external (partner banks, card processors, card networks, card manufacturers, etc.) stakeholders Clearing vs. settlement controls and reconciliation on all payment flows Management of operational/day-to-day relationships with Swan's financial partners and identification of process inefficiencies Execution of non-STP transactions ( Expertise and support to Swan teams (Technical Account Management, Customer Support, KYC, etc.) Physical Cards & Chargebacks Physical cards stock management with Swan's physical card manufacturer Card disputes and chargebacks management Regulatory Obligations & Controls Control of automated client cash segregation processes Production of performance/fees reports for card schemes (Mastercard) and X-Pays (Apple Pay, Google Pay) as well as ad-hoc reports Creation and maintenance of operational procedures Level-1 controls on payment operations processes & actions As a Payment Operations Efficiency & AI Automation, you report to the Payment Operations Lead, partner closely with the Staff Payment Operations, work horizontally, and drive AI-powered improvements across Payment Operations while serving as an advisor on efficiency, automation, and complex operational situations: Lead thorough discovery efforts to identify Payment Operations pain points, inefficiencies, and operational risks, with a sharp eye for where AI and AI agents can remove manual work, in collaboration with internal stakeholders (Product, Compliance, Data, Tech, Security, etc.) Design, test, and scale AI agents and automation experiments (Case Management, agentic workflows, LLM-based controls, etc.) to enhance operational efficiency while minimizing operational risk Champion responsible AI adoption: embed the right human-in-the-loop, controls, and guardrails so automation stays safe in a regulated payments environment Transform insights into actionable requirements for payment operations processes, tools, and AI agents Actively contribute to the definition of the payment operations efficiency & AI roadmap Effectively prioritize competing demands and dependencies while maintaining urgency and high agency Oversee end-to-end implementation of improvements, from AI agent deployment to process redesign, balancing quick wins with foundational investments while minimizing operational risk Establish and monitor high-level success metrics/KPIs for quality, us
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