Senior Data Scientist

What you need to know about the role- The Collections Loss Forecasting Data Science role will be responsible building forecast to predict delinquency and losses across a range of credit and payment products. In addition, the role will focus on data driven analysis help drive fact based decisions across Collections.

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.

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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.