À propos
Job Description We're seeking a Senior Data Scientist who thrives in high-autonomy environments and wants to build ML systems that power life-changing financial decisions. You'll work on risk modeling, fraud detection, and explainable AI to make lending more equitable and intelligent.
Responsibilities
Build and productionize machine learning models for credit risk and fraud detection
Design real-time scoring systems using behavioral and transactional data
Conduct fairness analysis and build explainable AI tooling
Lead model validation, A/B testing, and drift monitoring
Collaborate with data engineers and product managers on model-driven features
Contribute to data governance and regulatory compliance efforts
Required Skills
7+ years of experience in data science, ideally in FinTech or financial risk modeling
Proficient in Python, SQL, and modeling tools like XGBoost, LightGBM, sklearn
Experience with real-time modeling, data pipelines, and stream processing
Knowledge of responsible AI practices and interpretability (SHAP, LIME)
Strong statistical background and experimental design skills
Preferred Skills
Experience with alternative credit models or underwriting
Familiarity with regulatory frameworks (FCRA, ECOA)
Exposure to tools like H2O.ai, Feature Store integrations, or custom explainers
100% remote with async-friendly culture
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Compétences linguistiques
- English
Avis aux utilisateurs
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