Job Description
The Senior Product Manager, Account‑to‑Account Risk is a product execution leader supporting Visa's participation in a regulatory‑led, industry‑wide proof‑of‑value initiative focused on detecting and preventing scams across account‑to‑account payment networks.
This is a fixed‑term, project‑based role for a period of 33 weeks, designed to support a time‑bound evaluation initiative with clearly defined milestones and outcomes.
This role serves as a product owner and integrator across advanced risk analytics, data science, and engineering teams, with responsibility for shaping and delivering high‑impact fraud and scam detection use cases under strict evaluation timelines. The role requires deep prior experience working with advanced predictive models in complex, data‑sensitive environments and the ability to translate analytical outputs into clear, decision‑ready insights.
You are a product leader who brings strong execution discipline, analytical judgment, and practical experience from prior network‑level or industry‑wide pilots, allowing you to maximise speed to insight and avoid re‑learning cycles in evaluative, time‑bound settings.
You will be responsible for:
- Lead product definition and execution for Account‑to‑Account risk use cases, including transaction risk scoring and scam / mule account detection, within a proof‑of‑value environment.
- Shape and articulate clear product hypotheses, requirements, and success criteria aligned to agreed evaluation metrics and outcomes.
- Partner closely with experienced data scientists, modelers, and engineers to optimise early design and configuration decisions for advanced predictive risk models.
- Apply learnings from prior industry or network‑level pilots to accelerate delivery, reduce iteration cycles, and increase the likelihood of identifying incremental scam activity.
- Own end‑to‑end product delivery across the initiative lifecycle during the 33‑week assignment, including:
- Environment and deployment readiness
- Validation of training and evaluation datasets
- Model training, testing, and evaluation coordination
- Ensure all product outputs meet required specifications, including risk scores, indicators, and flagged account outputs, and are delivered within agreed timelines.
- Serve as the primary product interface with external stakeholders and internal cross‑functional partners, providing clarity on product intent, progress, and trade‑offs.
- Support formal readouts and working sessions by distilling complex technical and analytical results into clear product narratives and insights.
- Partner closely with legal, compliance, and risk teams to ensure delivery aligns with data governance, confidentiality, and usage constraints.
- Build strong internal relationships across product, risk, data science, engineering, and regional teams to ensure alignment and execution excellence.
Qualifications & Experience
- 8+ years of experience in Product Management, preferably within payments, account‑to‑account networks, fraud, scam, or financial crime risk solutions.
- Demonstrated experience leading product delivery alongside advanced data science and engineering teams building model‑driven or predictive risk capabilities.
- Prior exposure to industry‑wide pilots, proofs‑of‑value, or multi‑stakeholder initiatives involving complex data and governance requirements.
- Strong business and product judgment, with the ability to prioritise high‑signal outcomes within a fixed‑term, milestone‑driven engagement.
- Proven ability to operate effectively in highly governed, data‑sensitive environments with multiple external and internal stakeholders.
What will also help:
- Experience with real‑time or account‑to‑account payment schemes
- Familiarity with AI / machine‑learning-driven risk or fraud products
- Strong executive communication skills, with the ability to influence and align senior stakeholders
- Comfort operating in evaluative, non‑commercial pilot settings
