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Associate Data Scientist (Fraud Strategy)

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Skills

Required

  • SQL
  • Python
  • data science
  • statistical analysis
  • data visualization

Preferred

  • fraud
  • e-commerce
  • Tableau
  • feature engineering
  • predictive modeling
  • model monitoring
  • AI tools

Join Happen Bank as an Associate Data Scientist in the Fraud and Data Science team. You will analyze complex datasets, develop fraud detection strategies, monitor fraud trends, and partner with cross-functional teams. Enjoy benefits such as untracked vacation, a hybrid work model, generous paid leave for new parents, and wellness programs.

Responsibilities

  • Analyser de grandes ensembles de données complexes à l'aide de SQL et de Python pour identifier les schémas de fraude, les risques émergents et les opportunités d'amélioration.
  • Soutenir le développement et la mise en œuvre de stratégies de détection de la fraude, de règles et de modèles basés sur l'analyse des données.
  • Surveiller les tendances de la fraude, les indicateurs de performance des stratégies et les anomalies, en traduisant les résultats en recommandations exploitables.
  • You have practical familiarity with AI tools, understand their strengths and limitations, and are ready to apply that judgment to real-world analytical problems
  • You take ownership of assigned work, ask thoughtful questions, and incorporate feedback to improve quality and outcomes

Requirements

  • Working knowledge of statistical analysis, data visualization, and model or strategy performance measurement
  • You collaborate with humility, adapt to changing priorities, and bring curiosity, integrity, and a problem-solving mindset
  • You use sound judgment when handling sensitive data and applying new methods, balancing speed with accuracy, explainability, and risk
  • Hands-on experience using SQL and a statistical programming language such as Python to work with large datasets and produce reproducible analysis
  • Bachelor's degree or higher, or equivalent combination of education and experience
  • Ability to translate analytical findings into clear recommendations for technical and business audiences
  • 2+ years of experience in data science, fraud analytics, decision science, or a related analytical role

Preferred

  • Experience in fraud, credit risk, financial services, e-commerce, or another high-volume digital environment
  • Experience with Tableau or another business intelligence and visualization platform
  • Exposure to feature engineering, predictive modeling, model monitoring, or experimentation

Pay

USD 125,000 - 145,000