Senior Credit Risk Quantitative Model Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement mathematical or statistical techniques to organize, analyze, and summarize numerical data from various sources.

• Create credit risk rating models along with other initiatives related to credit risk.

• Formulate well-founded and justifiable model assumptions.

• Oversee the performance and calibration of existing models.

• Develop models in a transparent and maintainable manner within loan origination applications.

• Document modeling and analytical processes to satisfy internal, GAAP, and regulatory standards.

• Convey model theories and findings to audiences lacking a quantitative background.

• Establish and uphold controls for the model implementation framework.

• Assist in independent model validation, internal and external audits, and regulatory examinations.

• Resolve model-related issues and remediation actions in collaboration with model users, validators, and regulators.

• Work alongside Accounting, Treasury, Credit, Lines of Business, Model Risk Management, and Enterprise Technology.

• Undertake special projects and additional responsibilities as necessary.

• Complete mandatory compliance training and uphold regulatory adherence.

⛳️ Requirements

• A bachelor's degree (4 years or equivalent); preferably in a quantitative discipline, with additional certifications or relevant experience.

• Over 6 years of experience in model development, performance monitoring, or validation, specifically in credit risk.

• Proficiency in at least one of the following: R, SAS, SQL, or Python.

• Familiarity with commercial dual risk rating frameworks, particularly in PD/LGD/EAD modeling methodologies.

• Experience in developing credit risk models and programming user interfaces.

• Knowledge of nCino's implementation of risk rating models and the financial spreading process.

• Understanding of GAAP, Basel III, Dodd-Frank Act Stress Testing, CCAR, and bank accounting/regulatory reporting obligations.

• Capability to utilize advanced statistical and mathematical software for descriptive, predictive, and prescriptive analyses.

• Proficient in employing statistical techniques such as segmentation, logistic regression, sensitivity analysis, and machine learning.

• Strong analytical and critical thinking abilities with a keen attention to detail and accuracy.

• Excellent verbal, written, and interpersonal communication skills.

• Ability to present ideas, analytical insights, and recommendations to both technical and non-technical audiences, including executives.

• Skilled in identifying key issues, conducting thorough research, and articulating well-reasoned solutions.

• Capable of building and maintaining effective relationships with stakeholders.

• Commitment to compliance with relevant federal, state, and local laws and regulations.

• Travel is not necessary.

• No unusual physical exertion is required.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance

• Disability insurance

• Comprehensive leave program

• Variable incentives, bonuses, commissions, or other awards may be included in total compensation