Job responsibilities
* master fundamental theories and practical methodologies of consumer credit risk management.
* apply statistical and machine learning techniques to analyze borrower default risks, and develop data-driven risk control models or strategies.
* monitor key risk indicators (kris), identify potential risk issues, and optimize solutions.
* collaborate closely with algorithm, product, and data warehouse teams to ensure effective implementation of risk strategies.
qualifications
* education: bachelor's degree or higher in finance, economics, statistics, mathematics, computer science, or related fields.
* technical skills: proficiency in sql, python, and other statistical analysis tools. Solid programming capabilities.
* learning agility: ability to quickly absorb new knowledge and adapt to fast-paced work environments.
* analytical skills: strong logical thinking and data analysis capabilities; able to extract actionable insights from complex datasets.
* communication & collaboration: excellent verbal and written communication skills; able to actively contribute to cross-functional teamwork.
* language: fluency in the local language and professional working proficiency in english.