Lead Product Manager, Risk

Who We Are

At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide.

At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide.

Our Ambition:
To build the world’s most disruptive payment network and redefine what the payment experience should feel like.

Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays.

We're looking for a senior Risk Product Manager to own the strategy and execution for the risk platform that powers Trustly's payment guarantee. This is a high-ownership role: you'll shape the roadmap, partner directly with Data Science and Engineering on model integration and architecture, and drive decisions that affect approval rates, loss exposure, and guarantee economics across our merchant portfolio.

You’ll need genuine domain depth — the ability to read a decision engine configuration, pressure-test a model threshold, and translate an ACH return pattern into a product requirement on the same day. Strategic thinking and hands‑on rigor aren't optional here; they're the job.

• Platform strategy and roadmap. Define and execute the product direction for risk infrastructure — decisioning, model integration, rules management, and real-time controls — with clear prioritization across competing business needs.
• AI/ML integration. Work closely with Data Science to translate model outputs into operational product decisions: threshold design, feature requirements, monitoring frameworks, and feedback loops that close the loop between predictions and outcomes.
• Technical fluency. Develop deep working knowledge of system architecture, data flows, and tooling so you can identify gaps, unblock engineering, and write requirements that don't need to be rewritten.
• Guarantee economics. Understand the approval/loss tradeoff at the segment level and make principled calls about where to tighten, loosen, or differentiate risk controls to optimize performance across the portfolio.
• Cross‑functional alignment. Serve as the connective tissue between Risk, Engineering, Data Science, Finance, Legal, and Sales — translating complex risk capabilities into language each stakeholder can act on.
• Delivery. Own the backlog, lead sprint planning with your engineering counterpart, and maintain a high‑quality bar on story definition and acceptance criteria.

• Domain expert. 4–7 years in product management with direct experience in risk, fraud, or financial decisioning. You understand ACH or digital payments mechanics es, dispute windows, and settlement timing —not just conceptually.
• AI/ML fluent. You've worked alongside data alize models — not just consuming outputs, but shaping feature sets, defining thresholds, and building monitoring into product design.
• Technically rigorous. Comfortable in SQL, fture, and capable of engaging in technical design discussions without needing everything translated. You learn systems by using them.
• Analytically sharp. You write well, speak precisely, and calibrate for audience — a fraud escalation brief and an exec…