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Fraud Data Scientist L2

2 months ago
Argentina, Guatemala
Full-time
Junior
Data Scientist
Data Science and Analytics
AWS Feature Engineering Machine Learning Python SQL
Apply Now
Vana

Vana

Vana is a fintech company based in Guatemala that aims to provide convenient and accessible loans to individuals in Latin America. Through their Android app, Vana offers quick and affordable credit solutions using non-traditional data sources and machi...

Diversified Financial Services
51-250
Founded 2018
View All Jobs 9

Description

  • Explore large transactional and behavioral datasets to identify patterns associated with fraud.
  • Build and validate classification models for imbalanced fraud versus non-fraud datasets.
  • Develop feature engineering approaches that improve model performance and generalization while reducing overfitting.
  • Apply supervised and unsupervised machine learning techniques to strengthen fraud detection and automate decision-making.
  • Collaborate with engineering, product, and operations teams to integrate models into decision workflows.
  • Monitor model performance in production and iterate based on user behavior changes, fraud trends, and strategy updates.
  • Stay current on advanced machine learning techniques for digital fraud detection in transactional environments.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field, with strong programming skills.
  • 1–2 years of experience in Data Science or Data/Business Analytics, with machine learning knowledge.
  • More than 2 years of experience using Python and SQL.
  • Experience with fraud detection, anomaly detection, or modeling on imbalanced datasets.
  • Strong analytical and problem-solving skills with the ability to extract actionable insights from data.
  • Experience in fintech, insurance, or banking is valued but not required.
  • Knowledge of AWS services is a plus.
  • Understanding of consumer behavior, alternative data sources, and digital lending platforms is desirable.

Interested in this position?

Apply directly on the company website

Apply Now

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