Jobs at Félix (felixpago)

Lead and manage multi-state money transmitter licensing, regulatory reporting, and examination support across the U.S.; coordinate regulator communications, filing calendars, and licensing strategy; support product and geographic expansion; oversee remediation, external counsel, and mentor licensing staff.

Lead and manage multi-state money transmitter licensing, regulatory reporting, and exam coordination. Own filings, regulator communications, licensing inventories, change-of-control matters, and licensing support for product and geographic expansion. Monitor regulatory developments, coordinate external counsel, and manage/mentor licensing personnel.

Lead the design and scaling of a unified fraud and risk platform. Define product roadmap, run data analysis and A/B tests, collaborate with engineers and data scientists to build real-time fraud detection, manage stakeholders, and balance customer experience with effective risk mitigation.

Lead design and scaling of a unified fraud and risk platform. Define product strategy, own fraud metrics, run SQL-driven analysis and A/B tests, and partner with engineers and data teams to build real-time detection, identity verification, and transaction monitoring. Balance customer experience with risk mitigation and communicate impact to executives, legal, and partners.

Lead and operate Felix's US financial infrastructure and partner ecosystem. Architect banking and payment processor relationships, manage stablecoin and custody partners, translate product needs into partner SLAs, negotiate commercial terms, source vendors for credit products, and build a Partnerships function including playbooks and hiring 2-3 managers.

Design and build the central AI orchestrator (Maestro) and distributed agents; own containerized deployment, observability, LLMops, evaluation pipelines, RAG optimization, and technical leadership for agentic production systems.

Lead Felix's global pricing strategy and infrastructure. Design experiments, run elasticity and sensitivity analyses, and partner with Finance and Engineering to build automated or ML-driven pricing engines while ensuring transparent user-facing pricing and healthy unit economics.

Lead Felix's global pricing strategy and infrastructure. Define monetization trade-offs, run advanced pricing experiments and elasticity research, partner with Finance on unit economics, and collaborate with Engineering to build automated/ML-driven pricing engines while keeping pricing transparent and user-friendly.

Lead fraud detection and mitigation for a conversational BNPL product. Define fraud typologies, own repayment and chargeback analytics, manage fraud KPIs, design operational policies, collaborate on ML models and decisioning workflows, and coordinate SARs and compliance reporting.

Lead credit analytics for the Send Now Pay Later product: build and maintain credit policies, pricing models, vintage and NPV analyses, executive reporting, model integration and testing, and explore alternative data to optimize approval rates and portfolio health.

Lead loss mitigation, build predictive collections models and CECL loss forecasts, design automated conversational recovery strategies, manage credit loss budgeting and vendor selection, and present findings to executive leadership.

Lead fraud detection and mitigation for a conversational Send Now Pay Later product: define first-party fraud typologies, own repayment and chargeback analytics, manage fraud KPIs, design operational policies, integrate ML and decisioning tools (Taktile), and coordinate SARs and compliance reporting.

Lead fraud detection and mitigation for a conversational BNPL product: define fraud typologies, analyze repayment/chargeback trends, own fraud KPIs, design policies, collaborate on ML models and decisioning workflows, and coordinate SARs with Compliance.

Design and own loss mitigation and loss-forecasting frameworks (CECL), build predictive collections models and automated contact strategies (WhatsApp/SMS/omnichannel), align with Operations for recovery execution, manage credit loss budgeting and capacity planning, and lead vendor evaluation and onboarding to maximize recovery ROI.

Lead loss mitigation, forecasting, and collections strategy for consumer lending. Build predictive collections models and CECL-based loss forecasts, align conversational operations, manage credit loss budgeting and vendor procurement, and present results to executive stakeholders.

Lead credit analytics for the Send Now Pay Later product: build and optimize valuation, vintage and NPV models; manage credit policies, portfolio monitoring, and NPL reporting; integrate and test scoring models with engineering/data science; and research alternative data to improve predictive performance.

Lead credit analytics for the Send Now Pay Later product: deliver executive portfolio health reporting, NPL trend analysis, and financial/vintage/NPV modeling. Design end-to-end credit frameworks and acquisition/customer management policies, monitor cohort performance, integrate and test ML scorecards with engineering, and evaluate alternative data sources to optimize approval rates and limit defaults.

Lead fraud risk for a conversational lending product (SNPL): define first-party fraud typologies, analyze repayment and chargeback trends, own fraud KPIs, design automated/manual blocking policies, coordinate ML/rules with central Fraud and Data teams, and liaise with Compliance on SARs and loan abuse.

Lead quantitative credit analytics for a Send Now Pay Later (SNPL) product: build and maintain credit policies, pricing and NPV models, vintage analysis, portfolio monitoring, model integration/testing, and alternative data evaluation to optimize approval rates and manage portfolio health.

Lead design and scaling of a unified fraud and risk platform. Own roadmap, fraud metrics, SQL-based analysis, A/B testing, real-time detection models, and cross-functional delivery to balance customer experience and risk mitigation.