Vana

Online Lender, Latin America

51-100 employees
Credit
Private Company

Open Positions1

Guatemala / ArgentinaFull-TimeFintech / Data SciencePosted
  • Analyze large datasets to identify patterns, trends, and actionable insights.
  • Develop and validate classification models including feature engineering and pipeline creation.
  • Assess credit risk by generating credit scores or probability of default metrics.
  • Utilize alternative data sources to build innovative credit risk solutions.
  • Collaborate with internal teams on technical decision-making and model development.
  • Monitor deployed model performance and make adjustments based on market or behavioral changes.
  • Research and integrate advancements in data science and machine learning.
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About Vana

Vana unlocks credit access for millions in Latin America, transforming financial lives with an Android app. You will solve complex credit risk problems for underserved individuals. Our platform processes loans in minutes using machine learning and alternative data. We empower financial inclusion where traditional institutions fall short. We've scaled from 197 to 473 employees in three years, backed by $25 million in funding.

How We Work

Our team thrives on rapid iteration and tackling challenging problems. You will join a diverse group energized by constant learning and growth. We foster interdisciplinarity, collaborating across teams for robust solutions. Decision-making is collaborative, with open communication to drive innovation.

Engineering at Vana

You will build and refine machine learning models that assess credit risk using non-traditional data sources. Our data scientists develop classification models and engineer features for predictive power. We focus on best practices while creatively solving unique challenges in alternative data. You will work with Python, SQL, and gain exposure to AWS services. We continuously monitor and improve model performance in a high-growth environment.

Why Join Us

  • Shape financial inclusion for millions in Latin America.
  • Solve unique and complex data science challenges.
  • Experience rapid professional growth in a high-growth fintech.
  • Collaborate with diverse and energized problem-solvers.
  • Innovate with alternative data and machine learning.

Tech Stack

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