Felix
Lead Fraud Data Scientist
Miami, USA
Sponsorship not specified$137k-$177kDetected 24 days ago
PythonSQLAWSGCPCloud PlatformsCI/CDMachine Learningscikit-learnPandasData AnalysisData ScienceData VisualizationMLOpsStatisticsA/B TestingStakeholder ManagementLeadershipCommunicationCollaboration
About the role
- This is a high-impact role where you will see your work directly translate into protecting millions of dollars and ensuring a trustworthy platform for our users.
- Technical Leadership & Strategy: Define the long-term machine learning strategy for the fraud team, establish technical best practices, and mentor junior data scientists.
- Advanced Analysis: Conduct deep-dive investigations into emerging fraud patterns and user behavior, using clustering, outlier detection, network analysis, and other unsupervised techniques to uncover hidden risks and organized fraud rings.
Responsibilities
- Own the entire lifecycle of fraud detection models, from data exploration and feature engineering to model training, validation, deployment, and monitoring.
- Design and develop models specifically targeted at lending fraud typologies, including synthetic identity fraud, first-party loan default fraud, and application fraud.
- Design and execute A/B tests to measure the impact of new models, rules, and strategies on both fraud detection rates and user experience.
- End-to-End Model Development: Own the entire lifecycle of fraud detection models, from data exploration and feature engineering to model training, validation, deployment, and monitoring.
- Credit & Lending Fraud Mitigation: Design and develop models specifically targeted at lending fraud typologies, including synthetic identity fraud, first-party loan default fraud, and application fraud.
- Experimentation: Design and execute A/B tests to measure the impact of new models, rules, and strategies on both fraud detection rates and user experience.
- About Us At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances.
- Joining Félix means you will be part of a team building a legacy, a company that will outlive us all.
- We are building the future, today.
- About the role As a Lead Data Scientist for our Fraud team, you will be on the front lines of protecting our company and our customers.
Requirements
- Deep experience with tree-based ML models (XGBoost, CatBoost, LightGBM) and statistical models (Logistic Regression, Lasso/Ridge).
- Practical experience with clustering and outlier detection techniques (e.g., K-Means, K Nearest Neighbors, Isolation Forest).
- Proven experience with the full modeling lifecycle, including model deployment, monitoring, and maintenance on a cloud platform like GCP, AWS, or Azure.
- Excellent stakeholder management and communication skills, with a demonstrated ability to explain complex technical concepts to diverse audiences.
- Experience with Graph Neural Networks (GNNs) or graph analytics tools (e.g., Neo4j, NetworkX) to map complex fraud networks.
- Experience with Google Cloud Platform (GCP), especially Vertex AI.
- Model Lifecycle & Cloud: Proven experience with the full modeling lifecycle, including model deployment, monitoring, and maintenance on a cloud platform like GCP, AWS, or Azure.
Nice to have
- Domain Experience: Direct experience in a FinTech, payments, or risk/fraud-focused role, particularly with exposure to credit or consumer lending.
- Alternative & Bureau Data: Experience working with traditional credit bureau data (Experian, Equifax, TransUnion) and alternative credit/identity data sources.
- Graph ML: Experience with Graph Neural Networks (GNNs) or graph analytics tools (e.g., Neo4j, NetworkX) to map complex fraud networks.
- MLOps: Hands-on MLOps experience (e.g., CI/CD for models, versioning, automated retraining).
- GCP / Vertex AI: Experience with Google Cloud Platform (GCP), especially Vertex AI.
- Spanish and/or Portuguese speaker These are the applicable requisites, although equivalent competencies in any of the above will also be considered.
- Direct experience in a FinTech, payments, or risk/fraud-focused role, particularly with exposure to credit or consumer lending.
Skills
- Expert-level Python for data analysis and modeling (pandas, scikit-learn, etc.).
- Advanced SQL skills for complex data extraction and manipulation.
- SQL: Advanced SQL skills for complex data extraction and manipulation.
Compensation
- $137k-$177k
Benefits
- This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.
- This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team.
- You will leverage your expertise in machine learning, statistics, and data analysis to design, build, and deploy sophisticated models that detect and prevent fraudulent activity in real-time.
Company info
- At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances.
- Our core product is an AI-powered chatbot built on WhatsApp, allowing our users to send money home as easily as sending a text message.
- We leverage cutting-edge technology like AI, blockchain, and stablecoins to make cross-border payments faster, more affordable, and more accessible than ever before.
- We are a hyper-growth Series B company, backed by over $100 million in funding from top-tier global investors, including QED, Castle Island, Switch Ventures, HTwenty, Monashees, and General Catalyst Customer Value Fund.
- Additionally, Félix was selected as an "Endeavour Entrepreneur" and was a recipient of the CrossTech Fintech Startups Award.
- We are a group of extremely talented and dedicated high-performers, united by our shared obsession with a single goal: empowering our customers.
- We are all owners of Félix, driven by a bias for action and a true experimentation spirit to get shit done with urgency and focus.
- This is a rare opportunity to apply your skills to a deeply meaningful mission-serving a community that has been underserved for too long.
- We are a team that is fiercely loyal to each other, where radical transparency and constructive feedback are how we grow and push for excellence.
- We are bold, we care less about what others are doing, and more about creating sustainable value and a product that truly makes our users' lives better.
- As a Lead Data Scientist for our Fraud team, you will be on the front lines of protecting our company and our customers.
This listing is sourced directly from Felix's careers page and normalized into a canonical job model.