Credit Risk Assessment Manager (Risk Manager)

Đăng nhập để xem lương

The Credit Risk Assessment Manager is responsible for developing and implementing effective strategies for assessing and managing credit risks associated with individuals using Buy Now, Pay Later (BNPL) services. 

Responsibilities:

- Credit Risk Assessment Strategies for Individuals: Develop and implement robust strategies for assessing and managing credit risks associated with private individuals using BNPL services.
- Statistical Analysis and Predictive Modeling for Personal Risk: Utilize strong statistical and data analytics skills to analyze personal financial data, develop predictive models, and derive actionable insights for effective credit risk assessment on an individual basis.
- Anti-Fraud Expertise for Personal Risk Mitigation: Apply a deep understanding and knowledge of the anti-fraud field specifically tailored to personal risk assessments, contributing to fraud prevention efforts for individual customers.
- Personalized Credit Policy Development: Work on developing and refining credit policies in alignment with statistical findings and anti-fraud measures, focusing on the unique aspects of individual credit risk.
- Industry Trends and Best Practices for Personal Risk Management: Stay abreast of industry trends, emerging technologies, and best practices in statistical and data analytics for credit risk management and anti-fraud measures, particularly as they relate to personal risk assessment.

- A bachelor degree in a relevant field is required. An advanced degree or professional certification in risk management, or a degree in Statistics, will be considered an advantage.
- Proven experience in credit risk assessment with a focus on private individuals, strong statistical analysis, data analytics, and a deep understanding of the anti-fraud field.
- Expertise in employing statistical models and data analytics tools (R, Python, SAS...) to derive insights, inform credit risk decisions, and enhance anti-fraud measures specifically tailored to personal risk.
- Excellent communication skills and the ability to present complex statistical findings to non-technical stakeholders.
- Strong leadership skills and the ability to work collaboratively in a team environment.
- Fluency in English.