- Lead and contribute to the development of CECL credit risk models, utilizing statistical techniques and quantitative methodologies to support CRE portfolio.
- Collaborate with cross-functional teams to enhance existing models and develop new models to assess and manage credit risk effectively.
- Conduct in-depth statistical analyses and provide insights into market risk factors, trends, and potential areas of improvement.
- Utilize programming skills in Python to develop, implement, test, and maintain market risk models, ensuring accuracy and efficiency.
- Stay abreast of industry trends, regulations, and best practices in quantitative analytics and credit risk modeling.
- Masters or Bachelors in Statistics or Finance preferred
- 3+ years of proven experience of end-to-end quantitative risk modeling of PD/LGD/EAD for CECL is highly desirable
- Experience with Allowance for Credit Losses and Commercial Real Estate is preferred
- Technical proficiency in Python or R is preferred
- Strong proficiency in programming languages, with a particular emphasis on Python.
- Proven experience of Value-at-Risk and counterparty exposure models
- Expertise in statistical modeling techniques with a track record of successfully developing and implementing models to assess and manage market risk.
- Excellent communication skills with the ability to convey complex quantitative concepts to non-technical stakeholders.
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Senior Credit Risk Modeler - New Jersey, United States - Parallel Consulting
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Description
Our client, a leading Bank, is currently seeking a highly skilled and experienced Senior Credit Risk Modeler to join the team. The successful candidate will play a key role in advancing the credit risk modeling capabilities, employing their expertise in CECL statistical modeling, statistical analytics, and proficiency in Python programming. This is an excellent opportunity to contribute to cutting-edge quantitative analytics within a global banking environment.
Key Responsibilities:
Qualifications:
Location: New Jersey
Compensation: $130,000-140,000 base + bonus
This role is unable to support H1B sponsors.