Doktorand Predictive Analytics als Analyst / Consultant (w|m|d) | findic
Core
Develop innovative predictive analytics methods and machine learning models to derive reliable probabilities and data-driven decisions for risk assessment, pricing, and customer management in banking and insurance.
Role type
PhD Researcher / Data Scientist (Predictive Analytics)
Builds
Production-ready predictive models and evaluation frameworks for financial risk and customer strategy
Domain
Finance (Banking & Insurance) + Machine Learning / Statistics
Deliverable
production ML models
Required skills
Python, scikit-learn, XGBoost, LightGBM, CatBoost, statistical modeling, model validation, probabilistic calibration, ROC-AUC, Log Loss, Brier Score, time-based validation, data leakage prevention
Preferred skills
Conformal Prediction, Platt Scaling, isotonical regression, ensemble learning, stacking, time series forecasting, uplift modeling, distribution shift, concept drift, Docker, model versioning, deployment
Technologies
Python, NumPy, pandas, scikit-learn, XGBoost, LightGBM, CatBoost, Docker
Responsibilities
Develop predictive analytics procedures and machine learning models; evaluate model calibration and uncertainty quantification; translate research into innovative AI solutions for banking and insurance; implement evaluation methods considering probability calibration and economic thresholds
Seniority
PhD Candidate / Researcher