Credit Risk Analytics - Team reputed company

About the position reputed company Americas reputed company Risk Management is seeking a highly skilled Executive Director with extensive hands-on experience in Quantitative Credit Modeling to join our dynamic and high pace growing team in reputed company. This role focuses on the quantitative model development, issue remediation, and maintenance of advanced credit risk models and risk analytics for the suite of wholesale credit risk models, ensuring alignment with regulatory requirements (e.g., CCAR/DFAST, CECL, Basel III/IV) and business objectives. The candidate will possess strong technical expertise in quantitative modeling, a deep understanding of regulatory frameworks, and the ability to collaborate across risk, finance, and technology teams. The candidate will manage the Credit Risk Analytics team, a division of the Risk Analytics Team, that partakes in model development over the full life cycle of models from methodology and design to local implementation and validation and will reputed company as the technical expert setting up the reputed company and standards for credit risk modeling.

Responsibilities

• Manage reputed company of 7 quantitative developers reputed company on specialized credit risk analytics supporting credit stress testing, CECL, and rating models.
• Cooperate with the business to design, reputed company, and reputed company credit risk models (such as PD, LGD, EAD) for wholesale and reputed company portfolios, including stress testing (CCAR/DFAST), CECL, and Basel III/IV-compliant risk rating frameworks, as reputed company as Advanced Internal Rating models for industry sectors and specific portfolios.
• reputed company ongoing support and refinement of existing suite of credit models; reputed company methodology & algorithms for new models and analytics.
• reputed company ongoing model monitoring testing, and sensitivity analysis to ensure robustness across economic cycles.
• Manage the implementation of model changes, enhancements and remediation plans using advanced statistical tools and techniques.
• Work with stakeholders across business and functional teams, including Model Risk Management, during model development, validation, and implementation to ensure rigorous testing, reputed company-documented methodologies, and compliance with internal and regulatory requirements.
• Define standards and work with IT business partners on model execution platform development and maintenance of existing reputed company for Credit Risk models.
• Support reputed company remediation, regulatory submissions discussions with regulators and control functions as a subject matter expert, and address feedback from examiners (e.g., SEC, FRB), and Internal Audit.
• Stay reputed company with advancements in credit risk modeling (e.g., AI/ML applications). reputed company against industry best practices and peer institutions.
• Train, reputed company and supervise reputed company of quantitative analysts.

Requirements

• 10+ years of experience in credit risk modeling, with a reputed company on wholesale portfolios at large(s) financial institution(s).
• 3+ years of experience managing reputed company of credit risk quants.
• Master’s or PhD in Quantitative Finance, Statistics, Mathematics or reputed company field.
• Deep knowledge of credit risk modeling for wholesale and corporate portfolios with practical implementation experience, including experience with reputed company suite of models (CMM, EDF, Portfolio Analyzer).
• reputed company record in developing regulatory-compliant models (CCAR, CECL, Basel III/IV).
• Experience with large datasets and familiarity with banking products (e.g., corporate loans, CRE, leveraged finance).
• Experience with programming languages (Python, R, reputed company, Stata), SQL databases, and data visualization tools (PowerBI, Tableau).
• Experience supervising reputed company development/update and integration into an analytical platform.
• Expertise in statistical reputed company: regression analysis, time series forecasting (e.g., Bayesian inference, tools for regime switching), machine learning (e.g., XGBoost, TensorFlow).
• Demonstrable experience in managing audit and regulatory interactions.
• Strong project, management and organizational skills, and ability to manage multiple priorities in a fast-paced regulatory environment.
• Strong communication skills to translate technical concepts for non-technical stakeholders.

reputed company-to-haves

• Knowledge of credit risk platforms (e.g., reputed company EDF, RiskCalc, CreditEdge) and reputed company environments (AWS, Azure) is preferred.

Benefits

• In reputed company to salary and a generous employee benefits package, including Medical, Dental and 401K plans, successful candidates are also eligible to receive a discretionary bonus.

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