Risk Assessment Associate
hace 2 días
Moody's is a global integrated risk assessment firm that empowers organizations to make informed decisions. Our team of experts is dedicated to providing innovative solutions to the most complex credit challenges.
Job Description:
We are seeking an experienced Risk Assessment Associate to join our growing team in the Latin America region. As a key member of our Credit Standards team, you will play a vital role in enhancing and developing new methodologies, scorecards, and tools used by Moody's Local Rating Analysts to assign ratings and support the monitoring of ratings in all Moody's Local offices.
The ideal candidate will have a strong understanding of credit risk, quantitative methods, and economics, as well as excellent analytical and problem-solving skills. You will contribute to Moody's Local Core Strategic Objectives by helping to improve consistency and quality of Moody's Local credit analysis and rating methodologies.
Responsibilities:
- Help the Credit Standards team to improve and develop quantitative credit rating models and methodologies used by Moody's Local credit rating analysts to assign ratings.
- Support the Credit Standards team to prepare materials for portfolio and methodologies reviews, analyzing data, preparing charts, updating or running financial models, or gathering other analytical information.
- Assist in analytical projects to enhance the accuracy and reliability of Moody's Local credit analysis and rating methodologies.
Qualifications:
To be considered for this role, you must have:
- CFA certification or preparation will be considered a plus.
- One or more years of experience with credit/risk assessment gained from a rating agency, financial institutions, asset management, regulator, or public accounting firm, or proven equivalent.
- Strong communication skills - able to communicate clearly and succinctly, both verbally and written in Spanish and English.
Skills and Experience:
You will bring:
- Advance knowledge of Microsoft Excel and intermediate knowledge of Python (NumPy, pandas, matplotlib).
- Experience handling databases, time series, and panel data econometrics.
- Proven strong quantitative and analytical skills.
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