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Fraud Data Science

4 months ago
Argentina, Guatemala, Honduras, Peru, Colombia, Dominican Republic
Full-time
Junior
Data Scientist
Data Science and Analytics
AWS Feature Engineering Machine Learning Python SQL Statistics
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 4

Description

  • Explore large-scale transactional and behavioral datasets to uncover fraud-related patterns.
  • Build and validate classification models for imbalanced fraud detection problems.
  • Create feature-engineering variables that improve model performance and generalization.
  • Collaborate with engineering, product, and operations teams to integrate models into decision flows.
  • Monitor model performance in production and iterate as user behavior and fraud strategies change.
  • Research and apply cutting-edge machine learning techniques for fraud detection in digital transaction environments.
  • Support the automation of decision-making for fraud prevention systems.

Requirements

  • 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.
  • 2+ years of experience with Python and SQL.
  • Knowledge of fraud detection, anomaly detection, or modeling with imbalanced datasets.
  • Strong analytical skills and a problem-solving mindset with the ability to extract actionable insights from data.
  • Industry background in fintech, insurance, or banking is desirable but not required.
  • AWS services knowledge 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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