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Urgent! Senior Data Scientist (Credit) Position in WorkFromHome - Félix

Senior Data Scientist (Credit)



Job description

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About Us

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 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.

Félix was selected as an Endeavour Entrepreneur and received the CrossTech FinTech Startup Award.

We are a team of high performers united by a single goal: empowering our customers.

About the Role

We are seeking an exceptional Senior Data Scientist specializing in Lending to join our dynamic team.

In this pivotal role, you will own Félix’s underwriting models—from concept to continuous optimization—collaborating with Product, Engineering, and Collections to enhance approval rates, reduce credit losses, and unlock smarter growth.

What You’ll Do

  • Refine and optimize underwriting models for loan amounts.

  • Identify and integrate leading indicators of credit risk, especially behavioral ones.

  • Lead integration of diverse internal and external data sources into the underwriting model.

  • Build and maintain compliant underwriting models throughout their lifecycle.

  • Design comprehensive credit dashboards for originations and collections, providing actionable insights.

  • Provide advanced analytical support to originations and collections teams to optimize key metrics.

  • Collaborate with Product and Engineering to integrate models into production systems and uphold ethical AI practices.

  • Communicate complex analytical findings effectively to diverse audiences.

Requirements

  • Deep expertise in credit risk modeling, underwriting processes, and lending economics.

  • Proven ability to design, build, and deploy end‑to‑end ML solutions in production using Python.

  • Experience with MLOps: model versioning, monitoring, and automated pipelines.

  • Advanced SQL skills for large‑scale data extraction, transformation, and feature creation.

  • Strong statistical foundation: hypothesis testing, sampling, causal inference.

  • Extreme ownership and bias for action in a fast‑paced environment.

  • Exceptional communication and collaboration skills across cross‑functional teams.

  • Bilingual in English and Spanish with excellent communication skills.

  • Equivalent competencies in any of the above will also be considered.

Nice to Haves

  • Experience with cloud‑based data platforms (GCP, AWS, Azure).

  • Experience with collections analytics, recovery modeling, or pricing optimization.

  • Familiarity with MLOps practices and tools for model deployment and lifecycle management.

  • Background in FinTech, startups, or regulated industries focused on consumer lending.

  • Experience with feature stores, model registries, and CI/CD pipelines for ML.

  • Advanced degree in Data Science, Statistics, Economics, Computer Science, or related discipline.

What We Offer

  • Competitive salary.

  • Initial stock options grant.

  • Annual performance bonus.

  • Health, dental, and vision plans.

  • Remote work environment (hybrid option for Miami or Mexico City).

  • Continuous learning opportunities.

  • Unlimited PTO.

  • Paid parental leave.

  • Empowering growth opportunities 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.

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Required Skill Profession

Bases De Datos, Analítica Y Bi



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