Quantitative Analyst structuring and pricing asset - backed funding for Affirm’s buy - now - pay - later consumer loans. Building models that optimize capital strategy and predict loan performance.
About the role
- Data Analytics & Automation Development Summer Student supporting Champion Petfoods in data management and analytics development. Collaborating with QFS and RI teams to drive insights using Python and SQL.
Responsibilities
- Support Research & Innovation (RI) initiatives by developing and maintaining Python‑based data analytics tools
- Analyze operational, laboratory, and formulation datasets using Python to generate actionable insights
- Develop and present clear, visually compelling data visualizations and reports
- Improve data integrity and operational efficiency by managing datasets and building workflow automations
- Use SQL within Databricks to extract, interrogate, and validate corporate master data objects
- Perform advanced Excel‑based analytics to support RI and adjacent functions
- Work collaboratively with IT (Data Architecture) and RI stakeholders
Requirements
- Educational background: 3rd or 4th year in a related program (Computer Science, Data Science, Statistics, Applied Math, Engineering etc.)
- Strong Python skills (Jupyter/Spyder, Pandas, NumPy, Seaborn, Matplotlib)
- SQL experience
- Proficient with Microsoft Office
- Nice to have: Azure Databricks experience
- Dashboarding tools (Power BI, Plotly)
- Basic statistics knowledge
Benefits
- Competitive Wages
- Safety: a strong commitment to ensure all people are provided with a safe, healthy and respectful environment.
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