Payment Product Manager

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. Swan is a licensed financial institution regulated by the French banking authority (ACPR).

Our mission is that banking belongs in business software. We aim to help software companies become the central hub for managing every aspect of business life, including financial workflows such as cash flow management, payments tracking, and reconciliation.

To learn more about us: About Swan; Our story.

Job description

The Payment Group builds and operates the API-based banking products and platform that power cash collection, cash storage, and money movements for Swan’s financial products. The group aims to simplify money handling for Swan’s partners and end-users, including adopting new payment methods, reconciling entries, integrating with banks and financial partners globally, and addressing regulatory obligations.

The Payment Product team sits at the intersection of Strategy, Go-To-Market, Compliance, Risk, Data, and Engineering and oversees all stages of the product lifecycle—from discovery to release—while aligning with the company’s global strategy. The Payment Product team owns the payment product roadmap. The Payment Product Manager leads the strategy and roadmap for a key area of our payment banking product and is end-to-end accountable for success, including strategy, delivery, adoption, performance, and impact.

They develop scalable, high-impact solutions within the payment platform by collaborating with clients, internal teams, and financial providers to turn evolving specs into thoughtful product capabilities.

As a Product Manager Transaction Risk, you will own Swan’s transaction scoring engine—the signals, features, rules, machine learning models, and decisioning logic that protect Swan and its partners from fraud while keeping legitimate transactions flowing. You will report to a Payment Product Lead and be the end-to-end owner of transaction scoring risk performance: fraud detection rate, false positive rate, and the trade-off between them. The Head of Risk is accountable for the fraud framework and risk appetite; you are responsible for the day-to-day optimization loop.

Unlike other Product Managers at Swan, your closest build partner will be Data rather than an Engineering squad, with a dedicated data squad to build and run machine learning models as the scope grows. You will leverage AI to amplify your impact across discovery, specification, signal analysis, and operations automation.

What you’ll do

• Own the transaction risk roadmap end-to-end. You are the single accountable owner of fraud detection on transactions—strategy, roadmap, delivery, and performance—across all payment flows (SEPA Credit Transfers, SEPA Direct Debits, card issuing and acceptance, etc.).

• Push the Fraud Detection Rate/False Positive Rate frontier. Drive the iterative tuning of rules, features, signals, and machine learning models to maximize fraud detection within a capped false positive rate.

• Measure before deciding. Partner with Data and Engineering to ensure flows emit the right signals and that decisions are measurable end-to-end.

• Run the weekly Transaction Scoring Tuning loop. Collaborate with Flow Product Managers, Data Partners, and the FinCrime Lead to translate patterns (new scam techniques, mule behavior, fraudulent IBAN lists) into shipped rules and model updates quickly.

• Implement AML-CFT and sanctions rules on the platform under the Compliance Team’s mandate; maintain up-to-date rules and monitor their performance, reducing false positives while maintaining detection.

• Keep the platform consistent. Define signal taxonomy, data contracts, and change-management processes so flow-specific risk scores feed the Transaction Scoring engine cleanly.

• Own external transaction monitoring. Manage external checks at transaction time that impact acceptance rate or UX; collaborate with providers to monitor and tune performance.

• Make trade-offs explicit. Translate risk scores into concrete product actions (block, step-up, allow) and manage the balance between fraud losses, user friction, and oper