---
title: 'Lead Fraud Data Scientist at Felix Technologies, Inc.'
canonical: 'https://feeny.ai/job/lead-fraud-data-scientist-felix-technologies-inc-sao-paulo-3ysf6fke2nz2'
type: 'job'
last_seen: '2026-09-14'
---

# Lead Fraud Data Scientist at Felix Technologies, Inc.

- **Company:** Felix Technologies, Inc.
- **Location:** São Paulo, Brazil
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-06-22
- **Last confirmed live:** 2026-09-14
- **Apply:** https://jobs.gem.com/felix/am9icG9zdDptTx5HIpRdagXoy5AQQ86O

## Job description

## About Us

At [Félix](https://felixpago.com/), we are building the indispensable financial companion for Latinos in the US. We combine an AI-powered, conversational-first interface with real-time financial infrastructure to make cross-border money movement as easy as sending a text. Starting with fast, affordable remittances powered by AI and crypto rails, we are expanding into credit, savings, and wallet services to support the complete immigrant financial journey. Our ambition is to deliver a white-glove financial experience with the simplicity of a conversation to a community the traditional financial system has historically overlooked.

We are a hyper-growth Series C company, backed by over $300 million in funding from top-tier global investors, including Andreessen Horowitz, QED, Castle Island, Switch Ventures, HTwenty, Monashees, General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, Félix was selected as an “Endeavour Entrepreneur” and was a recipient of the CrossTech Fintech Startups Award.

Joining Félix means you will be part of a team building a legacy, a company that will outlive us all. This is a rare opportunity to apply your skills to a deeply meaningful mission—serving a community that has been underserved for too long because we are obsessed with our customers. We get things done with urgency and focus, driven by extreme ownership over our impact. We collaborate without ego, fostering radical transparency and fierce loyalty so we can grow together. Because we aim for insanely great rather than just good enough, we stay insatiably curious—always experimenting, building the future today, and delivering a product that truly makes our users' lives better.

## 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. 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. 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.

## Responsibilities

- Technical Leadership & Strategy: Define the long-term machine learning strategy for the fraud team, establish technical best practices, and mentor junior data scientists.
- 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.
- 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.
- 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.
- Stakeholder Collaboration: Partner closely with Product, Engineering, Risk, and Operations teams to translate business needs into data science solutions, seamlessly integrate ML scores with rule engines, and communicate complex results to non-technical audiences.
- Productionalize Models: Deploy, monitor, and maintain machine learning models in a cloud environment, ensuring high availability and performance.
- Reporting & Visualization: Build and maintain dashboards using tools like Tableau or Looker to track key performance indicators (KPIs) like fraud loss rates, false positive rates, and model performance.

## Requirements

- Experience: 5+ years of experience in a hands-on data science role, building and deploying machine learning models.
- Leadership: Proven experience leading complex data science projects from inception to production, including setting technical direction and guiding peers.
- Python: Expert-level Python for data analysis and modeling (pandas, scikit-learn, etc.).
- SQL: Advanced SQL skills for complex data extraction and manipulation.
- Machine Learning Modeling: Deep experience with tree-based ML models (XGBoost, CatBoost, LightGBM) and statistical models (Logistic Regression, Lasso/Ridge).
- Model Explainability & Ethics: Deep understanding of model explainability frameworks (SHAP, LIME) and algorithmic fairness to ensure models comply with credit lending regulations.
- Sampling Techniques: Strong understanding of sampling techniques for handling highly imbalanced datasets.
- Unsupervised Learning: Practical experience with clustering and outlier detection techniques (e.g., K-Means, K Nearest Neighbors, Isolation Forest).
- 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.
- Analytical Rigor: A solid foundation in statistics and experience designing and analyzing A/B tests.
- Communication: Excellent stakeholder management and communication skills, with a demonstrated ability to explain complex technical concepts to diverse audiences. Advanced English level.

## 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.
- Regulatory Familiarity: Familiarity with consumer lending regulations (e.g., FCRA, ECOA) and their impact on machine learning model development.
- 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.

## What We Offer

- Base- SF/NYC: $168,000 - $214,000
- Miami: $137,000 - $177,000
- Initial stock options grant
- Annual performance bonus
- Health, dental, and vision plans
- Continuous learning opportunities
- 401(k) with an employer's match
- Unlimited PTO
- Paid parental leave
- Empowering opportunities for growth in a dynamic entrepreneurial environment

## Equal Opportunity Employer

At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.

Want to learn more about our privacy practices? Check out our [Privacy Policy](https://www.felixpago.com/en/legal).

## About Felix Technologies, Inc.

## Company Overview
- **One-liner**: Félix is an AI-powered financial services platform that enables Latino immigrants in the U.S. to send money to Latin America via WhatsApp and is expanding into broader cross-border financial products.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States (also operates with a remote HQ model)
- **Founded**: 2021
- **Founders**: Manuel J Godoy (Co-Founder & CEO), Bernardo Garcia (Co-Founder)

## Core Business
- **Primary Industry**: Financial Services – Remittances and cross-border payments.
- **Target Customers**: B2C – Latino immigrants in the United States sending money to family in Latin America (Mexico, Guatemala, Honduras, El Salvador, Colombia, Ecuador, Peru, and more).
- **Mission / Purpose**: To build the financial companion for Latino immigrants in the United States, starting with remittances and expanding into the broader financial life that follows.

## Products & Services
- **Félix WhatsApp Chatbot**: Core product – an AI-powered chatbot integrated into WhatsApp that allows users to send money to Latin America in three steps. No app download required. Supports payments via credit/debit card or cash, with recipients receiving funds in bank accounts or via store pickup.
- **Broader Financial Services (in development)**: Félix is expanding beyond remittances into additional financial services for Latino immigrants, including managing money across borders with trust, speed, and simplicity.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Key Metric**: Total Funding – $99.5M (as of May 2025) across six rounds (Pre-Seed, Seed, Series A, Series B). Annual Revenue reported at $1.5M.
- **Notable Investors/Partners**: QED Investors (led Series B), Castle Island Ventures (led Series A), Switch Ventures (led Pre-Seed), HTwenty, Monashees, General Catalyst Customer Value Fund.
- **Growth Signals**:
  - Processed over $6B in transactions since inception.
  - Headcount grew ~99.2% year-over-year to 261 employees (across 15 countries).
  - Expanded services to Guatemala and Honduras after initial focus on Mexico.
  - 93 active job postings (as of late 2025/early 2026), with yearly job posting growth of +389.5%.

## Competitive Advantages
- **Deeply integrated with WhatsApp**: Users can send money without leaving a chat app they already use, lowering barriers to adoption.
- **Latino-built, culturally tailored**: Team understands the financial, cultural, and emotional reality of sending money home; support in Spanish, 24/7.
- **Technology stack**: Combines AI, blockchain, and stablecoins to make cross-border payments faster, more affordable, and more accessible.
- **Top-tier investor backing**: Over $100M from respected global fintech and crypto investors, validating the model.

## Strategic Focus
- **Expansion into full financial services**: Moving beyond remittances to become the financial companion for Latino immigrants (e.g., savings, lending, credit).
- **Geographic growth**: Adding new sending corridors (e.g., El Salvador, Colombia, Ecuador, Peru) and recipient countries.
- **Product development**: Leveraging AI and chat-based interfaces to simplify more financial tasks.

## Why Work Here
- **Culture**: Described as a hyper-growth Series B company with a “legendary” mission – a group of high-performers united by an obsession with customer empowerment. Values include inclusion, speed, and impact.
- **Remote/hybrid policy**: Remote-first HQ in San Francisco, with offices in SF and distributed across 15 countries (including Mexico, Argentina, Brazil, Colombia, etc.). Offers flexibility.
- **Engineering & growth**: Strong emphasis on tech (101 employees in technical roles). Active hiring for senior software engineers, data analysts, credit risk analysts, fraud specialists, and product managers.
- **Notable perks**: Backed by top investors; opportunity to work on cutting-edge AI, blockchain, and stablecoin technology for a mission-driven product that serves an underserved market.

## Sources
1. [jobs.gem.com](https://jobs.gem.com/felix) – Career page and company data
2. [linkedin.com](https://linkedin.com/company/felix-pago) – Company details, workforce, and financials
3. [felixpago.com](https://www.felixpago.com/en/what-is-felix) – Product description and service regions
4. [felixpago.com](https://www.felixpago.com/en/life-at-felix) – Culture, milestones, and mission

## Other roles at Felix Technologies, Inc.

- [Senior Site Reliability Engineer](https://feeny.ai/job/senior-site-reliability-engineer-felix-technologies-inc-mexico-gja57srxzh66) — Mexico
- [Senior Site Reliability Engineer](https://feeny.ai/job/senior-site-reliability-engineer-felix-technologies-inc-argentina-1adjnzgb1j40) — Argentina
- [Fraud Investigations Jr. Specialist](https://feeny.ai/job/fraud-investigations-jr-specialist-felix-technologies-inc-bogota-09zjcs01nm6p) — Bogotá, Colombia
- [Product Designer, Credit](https://feeny.ai/job/product-designer-credit-felix-technologies-inc-miami-4bkvseh84ma3) — Miami, FL
- [Product Designer, Credit](https://feeny.ai/job/product-designer-credit-felix-technologies-inc-bogota-xryqghgq49kp) — Bogotá, Colombia
- [Compliance Operations Agent](https://feeny.ai/job/compliance-operations-agent-felix-technologies-inc-mexico-3ec4v9pesgdk) — Mexico
- [Director, Engineering Operations](https://feeny.ai/job/director-engineering-operations-felix-technologies-inc-new-york-bgeb6qkb2sm2) — New York, NY
- [Fraud ops Supervisor](https://feeny.ai/job/fraud-ops-supervisor-felix-technologies-inc-mexico-city-1vrqnhp42yp2) — Mexico City, Mexico
- [Senior Regional Office Manager](https://feeny.ai/job/senior-regional-office-manager-felix-technologies-inc-mexico-city-ksf8zxhxxsqx) — Mexico City, Mexico
- [Senior Product Manager -  Multiproduct Experience](https://feeny.ai/job/senior-product-manager-multiproduct-experience-felix-technologies-inc-san-8x2s1zwmcb87) — San Francisco, CA