Sr. Data Scientist (Loss Forecasting)

In this role, you will focus on enhancing loss forecasting methodologies for unsecured personal loans. You will be responsible for extracting and manipulating large datasets using SQL and Python, creating pipelines to support forecasting and reporting. Another key responsibility includes performing exploratory data analysis to identify portfolio trends and drivers of loss performance. This role will also focus on automating reporting, dashboards and pipelines to streamline loss forecasting workflows.

Documentation of model methodologies is essential, this includes assumptions, data sources, and results in clear, audit-ready format. Participating in governance and review of forecasting methodology, model validation support and liaising with external auditors or regulators. Providing commentary and insight to business stakeholders on forecast outcomes, assumptions, model health, and emerging portfolio risks, is another key function.

Additional benefits include hybrid and remote options, a 401(k) with employer match, and comprehensive medical, dental, and vision coverage.