What will I be doing?
- Define how Fraud, Compliance, Routing, and Anomaly Detection together maximize TPV and conversion while keeping fraud, chargebacks, and regulatory risk under tight control.Translate company and Payins/Payouts strategy into a clear, multi-year roadmap for Payments Performance (platforms, capabilities, and core metrics).
- Translate company and Payins/Payouts strategy into a clear, multi-year roadmap for Payments Performance (platforms, capabilities, and core metrics).
- Own our fraud decisioning stack: scoring, rules, policies, and orchestration across cards and APMs.
- Drive the shift from heavy, per-merchant rules to modular, ML-driven defense strategies with clear separation of scoring, policy, and decisioning.
- Partner with Fraud Ops to define SLAs, explainability, playbooks, and automation that reduce manual workload while protecting CR and chargeback KPIs.
- Own the transactional compliance stack: sanctions screening, transaction monitoring, and transactional KYC/KYT for Payins and Payouts.
- Build a real-time, API-first compliance platform with configurable policies per country and product, strong auditability, and minimized false positives.
- Partner with Compliance leadership and Data Compliance to prioritize automation (L1 agents, doc extraction, autoclose models) and support initiatives like data localization and new regulatory regimes.
- Own routing and request orchestration across card acquirers, APM processors, and payout routes, optimizing for approval rate, cost, latency, and resiliency.
- Define routing policies (by BIN, issuer, merchant segment, country, payment method) and work with Payins/Payouts product teams to embed routing as a shared platform.
- Partner with Data and Engineering to run controlled experiments and roll out smart routing and retry strategies at scale.
- Own Alert Manager as the company-wide hub for alerts, routing, and workflows across Payins, Payouts, Fraud, Compliance, and Ops.
- Scale anomaly detection models (CR, volume, rejection mix, latency, provider health) across more metrics, segments, and products while controlling false positives.
- Drive the evolution from simple alerting to automated diagnostics and actions, enabling domain teams to plug in their own automations and runbooks.
- Partner with AI & Decisions Engineering to design agents and automation for L1 investigations, RFI handling, narrative generation, and alert triage.
- Prioritize initiatives that meaningfully reduce manual work (Fraud Ops, Data Compliance, CS, Ops) while improving consistency and auditability.
- Build, lead, and coach a team of Product Managers across Fraud, Compliance, Routing, and Anomaly Detection.
- Set high standards for discovery, documentation, experimentation, and stakeholder communication.
- Create strong collaboration rituals with Engineering, Data, AI, Compliance, Fraud Ops, CS, Payins, and Payouts teams.
- Define and track core KPIs: CR/approval rate uplift, TPV protected/recovered, fraud & chargeback rates, false positive rates, time-to-detect and time-to-resolve incidents, manual workload reduction, regulatory/audit findings.
- Use these metrics to prioritize the roadmap and communicate impact to leadership and partners.
What skills do I need?
- 10+ years in product management in payments/fintech, including owning complex performance / risk platforms (fraud, AML/TM, routing, or monitoring).
- Significant experience (5+ years) in fraud prevention and/or compliance decisioning (sanctions, TM, KYC/KYT) for Payins and/or Payouts, ideally in emerging markets.
- Strong understanding of authorization flows, chargebacks, AML concepts, sanctions screening, TM, KYC/KYT, and routing.
- Proven track record improving payments performance (CR, TPV) across multiple emerging markets (LATAM, Africa, APAC, or similar).
- Comfortable navigating local regulations, scheme rules, data localization, and infrastructure constraints with Compliance and Legal.
- Experience owning horizontal platforms (decisioning engines, routing engines, alert managers, or monitoring platforms) used by multiple product teams.
- Strong data and experimentation mindset; comfortable working with Data Science/ML teams to ship and iterate on models in production.
- Clear examples of turning ML and analytics into productized capabilities (policies, configs, APIs, tools) rather than one-off analyses.
- Experience leading and developing Product Managers; you know how to build a high-performing, mission-driven team.
- Excellent stakeholder management across Engineering, AI, Compliance, Fraud Ops, CS, Payins, Payouts, and Finance.
- Clear, concise communication in English; able to interface directly with senior leaders, regulators (when needed), and strategic merchants.
- Builder mentality: you are comfortable with ambiguity, roll up your sleeves, and ship.
- Obsession with merchant and end-user impact, not just internal metrics.
- Fluency in leveraging AI tools and data products to design better decision systems, automate operations, and accelerate the quality and speed of execution for you and your teams.
- Bias for outcomes over output, with a strong sense of ownership for the Payments Performance business.
Top Skills
What We Do
dLocal started with one goal – to close the payments innovation gap between global enterprise companies, and customers in emerging economies. We have over 900 payment methods, in more than 40 countries. With the ability to accept local payment methods and facilitate cross-border fund settlement worldwide, our merchants reach billions of underserved consumers in the high-growth markets of Africa, Asia, and Latin America. dLocal offers the ideal payment solutions for global commerce: Payins: Accept local payment methods Payouts: Compliantly send funds cross-border Defense Suite: Manage fraud effectively dLocal for Platforms: Unify your platform’s payment solution Local Issuing: Localize payments for your gig-economy workers, suppliers, and partners








