Quantitative Analyst I, Commercial Model Development
About the position Quantitative Analyst I of Commercial Equipment Finance Model Development will focus on developing and implementing credit risk models for commercial lending portfolios. This position provides support and expertise through research, development, and data gathering for model development. It creates improvements to current processes and procedures and ensures compliance with relevant rules and regulations. This position provides valuable learning, working, and career development opportunities in a highly professional environment. This position also provides exposure to impactful modeling projects and to a wide variety of internal and external stakeholders.
Responsibilities
- Perform tasks for development, validation, and implementation of credit risk models (PD and LGD) across commercial lending products including Equipment Finance and C&I (Commercial and Industrial).
- Perform data analysis and cleaning tasks to support model development.
- Cross validates other team members analytical works
- Maintain code updates and code commentary up to date
- Monitor model performance and identify potential areas for improvement.
- Contribute to the generation of reports for CCAR and CECL requirements.
- Stay current with industry’s best practices and regulatory guidance.
- Maintain the procedure documentation up to date
- Keep working folders organized and clean
Requirements
- Bachelor's Degree and 2 years of experience in financial, statistical, or quantitative analysis experience OR High School Diploma or GED and 6 years of experience in financial, statistical, or quantitative analysis experience
Nice-to-haves
- Ph.D. or Master's degree in Statistics, Mathematics, Finance, Operation Research, Industrial Engineering, or other related quantitative fields.
- At least 2 years of progressive experience in credit risk model development in Banks
- Hands on experience using Python, SAS and SQL.
- Hands-on experience in model development, including model development during academic studies
- Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies
- Basic knowledge about bank’s credit management practice
- Basic understanding of bank’s operations
Benefits
- Variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.
- Competitive, thoughtfully designed and quality benefits program
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