Seacoast Bank
Overview
The Quantitative Credit Risk Analyst will develop and implement statistical and quantitative methodologies to support credit and non-credit loss forecasting, as well as economic and capital calculations. This role requires analytical and problem-solving skills to assess portfolio risk, optimize pricing strategies, and inform customer origination strategies across consumer, residential, and commercial lending. The candidate will combine technical expertise with business acumen to deliver actionable insights that drive sound risk management and strategic decision-making. Responsibilities
Develop and validate credit risk models, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) for lending portfolios. Develop model monitoring plan, monitor statistical model performance, including back testing and benchmarking. Support stress testing, scenario analysis, and model risk governance processes. Collaborate with cross-functional teams to ensure alignment of modeling approaches with CECL requirements and capital planning frameworks. Prepare comprehensive model documentation in compliance with internal and regulatory standards. Communicate technical subject matter to individuals from various backgrounds. Education and/or Experience
Advanced degree in a quantitative discipline (e.g., Statistics, Mathematics, Economics, or related field). 3+ years of experience in credit risk modeling within banking or financial services. Knowledge of multivariate statistics, machine learning, and predictive modelling. Strong SAS programming skills, including SAS macro-language. Proficiency in Python, R, SQL, GIT, and familiarity with model validation frameworks. Self-motivated to proactively learn and solve complex business problems. Strong ability to explain complex subject matter to a non-technical audience. Strong attention to detail. Excellent communication, interpersonal, organization, and time-management skills. Additional Information
The statements above describe the general nature and level of work. They are not exhaustive. All associates are required to adhere to the highest legal and ethical standards applicable to our industry. It is the policy of Seacoast Bank that all associates will be familiar and compliant with regulatory, legal, ethical and bank risk mitigation requirements. This includes timely completion of required training post-hire and effective execution of role responsibilities.
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The Quantitative Credit Risk Analyst will develop and implement statistical and quantitative methodologies to support credit and non-credit loss forecasting, as well as economic and capital calculations. This role requires analytical and problem-solving skills to assess portfolio risk, optimize pricing strategies, and inform customer origination strategies across consumer, residential, and commercial lending. The candidate will combine technical expertise with business acumen to deliver actionable insights that drive sound risk management and strategic decision-making. Responsibilities
Develop and validate credit risk models, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) for lending portfolios. Develop model monitoring plan, monitor statistical model performance, including back testing and benchmarking. Support stress testing, scenario analysis, and model risk governance processes. Collaborate with cross-functional teams to ensure alignment of modeling approaches with CECL requirements and capital planning frameworks. Prepare comprehensive model documentation in compliance with internal and regulatory standards. Communicate technical subject matter to individuals from various backgrounds. Education and/or Experience
Advanced degree in a quantitative discipline (e.g., Statistics, Mathematics, Economics, or related field). 3+ years of experience in credit risk modeling within banking or financial services. Knowledge of multivariate statistics, machine learning, and predictive modelling. Strong SAS programming skills, including SAS macro-language. Proficiency in Python, R, SQL, GIT, and familiarity with model validation frameworks. Self-motivated to proactively learn and solve complex business problems. Strong ability to explain complex subject matter to a non-technical audience. Strong attention to detail. Excellent communication, interpersonal, organization, and time-management skills. Additional Information
The statements above describe the general nature and level of work. They are not exhaustive. All associates are required to adhere to the highest legal and ethical standards applicable to our industry. It is the policy of Seacoast Bank that all associates will be familiar and compliant with regulatory, legal, ethical and bank risk mitigation requirements. This includes timely completion of required training post-hire and effective execution of role responsibilities.
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