Sr Statistical Modeler
Core
Develops and implements analytics and AI solutions, translating problem statements into scalable machine learning solutions across the full modeling lifecycle.
Role type
Senior IC statistical modeler and machine learning engineer
Builds
Production ML models and infrastructure systems for risk assessment solutions
Domain
Financial services / Risk management / Anti-Money Laundering / Fraud detection
Deliverable
production ML models
Required skills
Statistical modeling, predictive modeling, machine learning, Python, R, SQL, cloud data platforms, neural network training, software engineering best practices
Preferred skills
Experience with large language models (LLM), retrieval-augmented workflows, mentoring junior staff
Technologies
pandas, NumPy, scikit-learn, XGBoost, PyTorch, AWS, Azure
Responsibilities
Develop and maintain infrastructure systems connecting internal data sets; interpret business issues and recommend best practices; train and mentor junior staff; evaluate model performance using statistical and machine learning metrics; apply software engineering best practices to data science codebases
Seniority
Senior, hands-on IC