Quantitative Analyst II - Risk Rating Model Development

Overview This is a remote role that may be hired from AL, AR, CT, DE, IA, ID, IN, KS, KY, LA, ME, MS, MT, NC, NE, NM, NV, OH, OK, OR, PA, RI, SC, SD, TX, UT, VA, WV. We are seeking a highly skilled Quantitative Analyst II and senior model developer and manager to join our Modeling and Analytics team at First Citizens. In this role, you will be responsible as an individual contributor, as well as, providing guidance to a team of analysts in the development, implementation, monitoring, and reporting of risk rating models specifically tailored for commercial loan portfolios. Responsibilities • Work with a team of analysts in the development and enhancement of risk rating models for commercial loans, ensuring accuracy and compliance with regulatory standards. • Conduct thorough analyses of internal and external sources of financial and loan-level data to inform model development. • Maintain comprehensive documentation of model development processes, ensuring transparency and compliance with regulatory standards. • Facilitate the model validation process with the bank’s Model Risk Management team. • Collaborate with IT teams to integrate developed models into the bank's systems and workflows. • Collaborate with cross-functional teams to gather input and insights for model improvement and determine appropriate model performance thresholds. • Monitor model performance and make recommendations for adjustments as necessary. • Produce comprehensive reports on model outcomes, providing valuable insights to stakeholders. • Stay abreast of industry best practices and regulatory changes to ensure models remain cutting-edge and compliant. Qualifications Bachelor's Degree and 4 years of experience in financial, statistical, or quantitative analysis experience OR High School Diploma or GED and 8 years of experience in financial, statistical, or quantitative analysis experience Preferred Skills: • Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Economics, or related discipline preferred. • Proven experience in developing risk rating models for commercial loans within the banking sector or similar industry. • Strong proficiency in statistical modeling techniques (e.g., logistic regression, linear regression, machine learning techniques) and programming languages (e.g., Python). • Demonstrated expertise in supervised models (e.g., regressions, boosting, ensemble learning) and unsupervised algorithms (e.g., clustering and DBSCAN) applied to quantitative risk modeling and data-driven analysis. • Strong understanding of statistical theory, such as sampling methods, confidence intervals, and hypothesis testing for evaluating model assumptions and performance. • Proficient in programming languages such as Python/SAS/R for statistical modeling, machine learning development, implementation, future engineering and model performance evaluation. • Capable of in writing efficient, reproducible code; experienced with data wrangling, automation, and generating analytical reports. • Proficient in leveraging SQL and other query languages to query, transform, and preprocess structured and unstructured data for analytical and modeling purpose. • Proficiency in data mining and feature engineering techniques. • Excellent analytical and problem-solving skills with attention to detail. Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at Qualifications: Bachelor's Degree and 4 years of experience in financial, statistical, or quantitative analysis experience OR High School Diploma or GED and 8 years of experience in financial, statistical, or quantitative analysis experience Preferred Skills: • Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Economics, or related discipline preferred. • Proven experience in developing risk rating models for commercial loans within the banking sector or similar industry. • Strong proficiency in statistical modeling techniques (e.g., logistic regression, linear regression, machine learning techniques) and programming languages (e.g., Python). • Demonstrated expertise in supervised models (e.g., regressions, boosting, ensemble learning) and unsupervised algorithms (e.g., clustering and DBSCAN) applied to quantitative risk modeling and data-driven analysis. • Strong understanding of statistical theory, such as sampling methods, confidence intervals, and hypothesis testing for evaluating model assumptions and performance. • Proficient in programming languages such as Python/SAS/R for statistical modeling, machine learning development, implementation, future engineering and model performance evaluation. • Capable of in writing efficient, reproducible code; experienced with data wrangling, automation, and generating analytical reports. • Proficient in leveraging SQL and other query languages to query, transform, and preprocess structured and unstructured data for analytical and modeling purpose. • Proficiency in data mining and feature engineering techniques. • Excellent analytical and problem-solving skills with attention to detail. Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at Education:UNAVAILABLEEmployment Type: FULL_TIME Apply tot his job Apply tot his job