Félix (felixpago)
Jobs at Félix (felixpago)
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Recently posted jobs
Fintech • Financial Services
Own operational readiness for fraud-related product launches: design fraud risk vectors, build SOPs and Go/No-Go playbooks, define queues and staffing, run cross-functional launch project workstreams, monitor post-launch effectiveness, and report readiness to leadership.
Fintech • Financial Services
Partner with product managers to analyze funnels, user conversations, and experiments. Deliver dashboards, bespoke analyses, A/B test support, impact sizing, and clear data-driven recommendations to guide product prioritization.
Fintech • Financial Services
Own operational readiness for fraud-related product launches: design fraud risk vectors, build SOPs and Go/No-Go playbooks, define queues/SLAs, run cross-functional launch workstreams, monitor post-launch and report status to leadership.
Fintech • Financial Services
Own operational readiness for fraud-related new products and launches: design fraud risk vectors and governance, build SOPs and queues, run cross-functional launch timelines, monitor post-launch effectiveness, and report readiness to leadership.
Fintech • Financial Services
Lead credit analytics for the Send Now Pay Later product: build and own valuation and vintage models, manage credit policies, monitor portfolio health and NPL trends, integrate ML scorecards, and evaluate alternative data to optimize approvals and loss performance.
Fintech • Financial Services
Lead credit analytics for the Send Now Pay Later product: build and maintain credit policies, valuation and NPV models, vintage analysis, executive reporting, model integration and testing, and alternative data integration to optimize approval rates and portfolio health.
Fintech • Financial Services
Lead credit analytics for the Send Now Pay Later product: own portfolio health reporting, NPL trends, valuation and NPV models, vintage analysis, credit policy design, monitoring, model integration and testing, and alternative data exploration to optimize approval rates and loss performance.
Fintech • Financial Services
Lead credit analytics for the Send Now Pay Later product: build and maintain credit policies, valuation and NPV models, vintage analysis, portfolio surveillance, executive reporting, model integration/testing, and alternative data exploration to optimize approval rates and manage portfolio risk.
Fintech • Financial Services
Design and own the Wallet product end-to-end within WhatsApp and native iOS/Android: balances, funding, withdrawals, stored value, and transaction history. Partner closely with the Wallet PM, incorporate compliance as design material, run user research, maintain product consistency, and influence hiring and design systems.
Fintech • Financial Services
Own end-to-end Wallet UX for chat (WhatsApp) and native mobile: funding, balances, withdrawals, stored value, and transaction history; partner closely with PM and engineers; integrate compliance into design; run user research; maintain product consistency and shape hiring and design systems.
Fintech • Financial Services
Architect and build scalable, secure backend microservices for Payments, Disbursements, or GRC squads. Implement payment and disbursement workflows, KYC/compliance pipelines, and cloud infrastructure using Google Cloud and Kubernetes. Collaborate cross-functionally, mentor junior engineers, and optimize systems for high throughput, reliability, and regulatory compliance.
Fintech • Financial Services
As a Product Analyst, you will empower Product Managers with insights derived from data analysis, user conversations, and behavioral trends to make informed product decisions. You'll support initiative prioritization and experimentation while creating narratives that connect data to business recommendations.
Fintech • Financial Services
Design, build, and scale backend microservices for Payments, Disbursements, or GRC squads. Implement secure, high-performance payment and disbursement workflows, KYC/AML and compliance features, and infrastructure using Google Cloud, Kubernetes, and Terraform. Collaborate cross-functionally, mentor junior engineers, and iterate on platform capabilities using analytics and user feedback.
Fintech • Financial Services
Architect, build, and scale backend microservices for Payments, Disbursements, or GRC squads; design high-performance, secure payment and disbursement workflows; integrate Google Cloud services and distributed systems; ensure compliance (KYC/AML); collaborate cross-functionally; mentor junior developers; and iterate on platform reliability and performance to support millions of daily requests.
Fintech • Financial Services
The Product Analyst will support Product Managers by analyzing data and trends, providing insights, making business recommendations, and enhancing user experiences through quantitative and qualitative analysis.
Fintech • Financial Services
The Product Analyst will empower Product Managers through data analysis, user insights, and recommendations to inform product decisions, focusing on performance tracking and experimentation.
Fintech • Financial Services
Own strategy for a reusable lending platform and identity data platform. Define identity and authentication flows, data schemas, and API design. Align engineering, fraud, compliance, and partner banks. Drive KPIs, AI-enabled identity decisioning, and platform adoption. Start as a strategist and build a team to scale lending products.
Fintech • Financial Services
Lead the fraud data science function: define ML strategy, build and deploy real-time fraud detection models, investigate fraud patterns (including lending fraud), run experiments, collaborate with stakeholders, and maintain monitoring and dashboards to minimize fraud losses.
Fintech • Financial Services
Lead Fraud Data Scientist to define ML strategy, build and productionize fraud detection models (supervised and unsupervised), investigate emerging fraud patterns, run experiments, collaborate with Product/Engineering/Risk, and maintain dashboards tracking fraud KPIs.
Fintech • Financial Services
Lead the fraud data science function: define ML strategy, build and productionize fraud and lending-fraud models, run advanced analyses (clustering, network analysis), design A/B tests, integrate ML with rules engines, monitor models in cloud, and communicate results to stakeholders.



