We are seeking a Senior Credit Risk Data Scientist to join our Quantitative Risk Team at Wayflyer. As a key driver, you will bridge the gap between complex statistical theory and tangible financial outcomes, leading strategic initiatives to turn data into dollars and scale our global funding operations to drive consistent revenue growth and improve our bottom line. You will lead the end-to-end lifecycle of credit risk models, design and implement sophisticated modeling frameworks, develop data-driven credit policies, and serve as a guardian of scientific integrity.
Requirements
- 4+ years in Data Science/ML, with a proven track record of building and maintaining production-grade ML systems.
- Advanced knowledge of predictive modeling and credit risk concepts (e.g., IV, ROC AUC, SHAP).
- Advanced proficiency in Python and SQL.
- Ability to leverage AI and LLMs as accelerants for high-quality output.
- Domain Expertise: Deep understanding of credit risk metrics (PD, EAD, LGD, EL) and the trade-offs between risk appetite and growth.
Benefits
- 25 days of paid annual leave, plus public holidays.
- Access to support and resources to support your wellbeing.
- Private healthcare, life insurance, and critical illness cover.
- Generous parental and adoptive leave program for both Primary and Secondary caregivers.
- Equity scheme, you're not just an employee; you're a stakeholder in our journey.
- Work From Abroad! Enjoy the freedom to work remotely from anywhere in the world for up to 60 calendar days a year.
