Data Scientist, Risk Modeling & Analytics
Core
Develop and deliver robust risk machine learning and statistical models to support credit decision-making, portfolio management, and risk measurement for a point-of-sale financing provider.
Role type
Junior Data Scientist (Risk Modeling)
Builds
IFRS 9 models, behavioural models, and predictive risk solutions
Domain
Financial services / Credit risk
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, machine learning, data engineering, automation, financial modeling, IFRS 9 methodologies
Preferred skills
Credit risk, behavioural modeling, fraud detection, portfolio risk
Technologies
Python, SQL, Excel, Confluence
Responsibilities
Build, validate, and refine sophisticated risk machine learning and statistical models; Develop and enhance IFRS 9 models including expected credit loss and probability of default; Build behavioural and predictive models leveraging customer and macroeconomic data; Translate complex analytical problems into scalable modelling solutions; Identify opportunities to apply automation and data pipelines; Document models, methodologies, and tools.
Seniority
Junior, 0–3 years experience
