Senior Credit Risk Analyst
1 day ago
Ninjacart is a pioneering agritech company that fosters a culture of innovation and develops professionals who pioneer new ideas, simplify customer experiences, and impact the lives of millions. Our employees take complete ownership and truly belong.
We leverage technology and data to organize the agri-commerce ecosystem, empowering farmers and other players in the ecosystem in ways never done before. Our mission is to be the digital network for global agri-commerce that solves structural problems such as information asymmetry, payment hassles, distribution inefficiency, and discovering new buyers and sellers with tech-first solutions.
We are a highly motivated, results-driven community, who focus on proactive approaches to problem solving. We cherish entrepreneurial spirit and provide significant operating autonomy to senior leaders. There are ample opportunities and challenges to be solved at scale and in real-time.
About the RoleAs a Senior Credit Risk Analyst, you will be responsible for analyzing and monitoring the credit risk of our loan portfolio. You will have a strong background in data science/analytics (preferably in risk analytics), excellent data analysis skills, and the ability to communicate complex risk issues to stakeholders.
Responsibilities:
- Analyze and interpret large datasets to identify trends, patterns, and potential credit risks
- Develop and maintain credit risk models and monitoring tools to track portfolio performance
- Conduct regular portfolio reviews to identify areas of concern and recommend mitigation strategies
- Collaborate with lending teams to provide credit risk insights and support informed lending decisions
- Develop and maintain dashboards and reports to communicate credit risk metrics and trends to senior management and other stakeholders
A Ninja is resilient, smart, and ambitious. Sounds like you? Here's what you will need to have to join the Ninja Clan
- Master's degree in Economics, Statistics, or related field
- 5+ years of experience in credit risk analytics or a related field
- Strong data analysis and modeling skills (e.g., regression, decision trees, clustering, forecasting etc)
- Proficiency in SQL and Python, R, or other programming languages
- Excellent communication and presentation skills
Good to Have:
- Experience in Risk Model Development and Validation (PD,EAD,LGD etc)
- Experience in portfolio management dashboard development
- Strong understanding of credit risk management principles and regulatory requirements
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