Your way to impact:
The Collections Loss Forecasting role will focus on building challenger forecasts that directly tie the efforts of Collections strategies and tactics to the success of the business.
Your day-to-day:
Communicate findings and recommendations to senior management and other relevant stakeholders through clear and concise reports and presentations.
The role will also require hands on technical coding skills to query and analyze data to help drive decisions impacting Collections
You will work closely with cross-functional teams to leverage data-driven insights for decision-making, loss forecasting, and strategic planning.
Stay turned in on industry trends, regulatory changes, and best practices in loss forecasting and risk management.
What you need to bring:
Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
Proficiency in programming languages such as Python, R, or SQL and experience working with big data technologies
Proven experience (5-7 years) in conducting data analysis within the financial services industry, preferably in credit risk management collections or loss forecasting.
Proficiency in SAS, Python and SQL
**We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.
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