Note: The job is a remote job and is open to candidates in USA. Qfin is a company focused on developing predictive credit risk models for unsecured personal lending products. The Senior Credit Risk Modeling – Data Science role involves leading model development, conducting data analysis, and collaborating with various teams to optimize risk strategies.
Responsibilities
- Lead the development of credit risk predictive models (e.g., PD, LGD, EAD, propensity to default, credit scoring models) for lending business
- Conduct in-depth data analysis and feature engineering using internal and external data sources to improve model performance
- Validate, back-test, and monitor existing credit risk models to ensure predictive accuracy and regulatory compliance
- Partner with business and operations teams to integrate model outputs into lending strategies and decisioning processes
- Develop and maintain documentation for model development, validation, and governance purposes in line with regulatory expectations
- Provide insights on portfolio risk trends, early warning indicators, and potential loss drivers
- Mentor junior analysts and contribute to building a strong modeling and analytical culture within the team
Skills
- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field
- 5–7 years of experience in credit risk modeling within a lending environment
- Strong expertise in statistical modeling, machine learning, and predictive analytics (e.g., logistic regression, decision trees, gradient boosting, neural networks)
- Proficiency in programming languages such as Python, R, or SAS; SQL experience essential
- Solid understanding of credit risk concepts, portfolio management, and lending business processes
- Excellent problem-solving, communication, and stakeholder management skills
- Experience with cloud-based data platforms or modern analytics tools
- Familiarity with alternative data usage in credit risk models
- Exposure to model governance and audit processes in regulated financial institutions
- Experience with model validation frameworks and regulatory compliance requirements in Canada (OSFI) or equivalent international standards
Benefits
- Competitive base salary + performance bonus + equity package.
- Fast-growth startup environment with direct impact on product and P&L.
- Flexible work model (hybrid/remote options).
- Learning budget, health benefits, and team culture focused on data and innovation.
Company Overview