Data Modeler II
Core
Build high-quality prediction systems and automated scores using machine learning and statistical analysis to unlock data for smarter business decisions.
Role type
Data Modeler II (Analytics)
Builds
Automated scores, prediction systems, and value-added analytical services for clients.
Domain
Financial services / Banking / Credit risk
Deliverable
production ML models
Required skills
Machine learning techniques (Gradient Boost, KNN), Statistical modelling, Python, Pyspark, SAS, Applied statistics (distributions, testing, regression), Decisioning and portfolio management concepts, Credit bureau understanding
Preferred skills
Understanding of modelling frameworks (Linear Regression, Logistic Regression, Decision Tree), Market trends analysis
Technologies
Python, Pyspark, SAS
Responsibilities
Apply data mining techniques and statistical analysis to build prediction systems, Engage business and technical consultants to ensure shared understanding of proposed solutions, Use analysis and customer insights to develop value propositions for customers
Seniority
Mid-level (3-4 years experience)
