Credit Strategy Manager

Join SoFi's Credit team as a Credit Strategy Manager. In this role, you will analyze and evaluate data to develop and propose credit risk strategies and models for our lending products. You will collaborate with cross-functional teams and use your business knowledge and analytical skills to drive revenue, control risk, and provide value to the company and consumers. The ideal candidate will have a data-driven analytics background, experience in the consumer lending business, and proficiency in Excel, SQL, and Python.

• Analyser et évaluer les données pour développer et proposer des stratégies et des modèles de risque de crédit.
• Collaborer avec des équipes interfonctionnelles pour utiliser les connaissances commerciales et les compétences analytiques afin de générer des revenus et de contrôler les risques.
• Surveiller la performance des stratégies et des portefeuilles, documenter et communiquer les résultats, et identifier les lacunes et les opportunités.
• The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using database and statistical analysis tools to inform decisions and support SoFi’s overarching strategic goals relative to loss prevention and profit optimization. They bring new ways of thinking, data sources, technologies, and capabilities to SoFi
• 4+ years of related experience
• A demonstrated ability to synthesize and communicate analysis to business partners and senior management
• Direct experience in the credit strategy analytical life cycle, including strategy and decision tree development, presentation, implementation validation, and post-implementation monitoring
• Business acumen and work experience in the consumer lending business (loans or credit cards)
• Knowledge/skills in analytical and modeling techniques such as Decision Trees, regression, logistic regression, A/B Testing, and Tableau
• Preferred: 4+ years of consumer lending credit strategy work experience
• Preferred: Experience in analyzing and testing credit strategies or models to meet the fair lending requirements
• Proficient skills in Excel, SQL and Python
• Proven analytical skills in conducting sophisticated analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems
• Preferred: Advanced degree (Master’s or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science
• High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment