Explore and apply for Regulatory Model Monitoring Execution Intermediate Analyst jobs, a critical and specialized role within the financial risk management landscape. Professionals in this position serve as essential guardians of a financial institution's model risk framework, ensuring the ongoing performance, accuracy, and regulatory compliance of quantitative models used for credit, market, and operational risk. This career path is ideal for analytical minds who thrive on ensuring data integrity and translating complex statistical findings into actionable business insights. The core mission of a Regulatory Model Monitoring Execution Analyst is to execute robust monitoring protocols for deployed risk models. This involves the regular extraction, transformation, and analysis (ETA) of large datasets to track model performance against established benchmarks and real-world outcomes. Typical responsibilities include designing and performing statistical analyses to identify model drift, deterioration, or bias. They validate data inputs and outputs, investigate anomalies, and prepare detailed documentation of monitoring results, findings, and potential issues. A significant part of the role is to automate repetitive data tasks using programming tools and to create clear reports and presentations that communicate technical results to both technical and non-technical stakeholders, including model developers, validation teams, and business leaders. To excel in these jobs, individuals must possess a strong blend of technical and analytical skills. Proficiency in statistical programming languages like SAS, R, or Python, along with expert-level SQL for data querying, is fundamental. A solid understanding of statistical techniques, predictive modeling concepts, and data validation methodologies is required. Equally important are strong written and verbal communication skills to articulate complex monitoring results effectively. Candidates typically need a bachelor’s or master’s degree in a quantitative field such as Finance, Economics, Statistics, Mathematics, or Data Science. Several years of relevant experience in risk management, model development, validation, or monitoring are standard prerequisites. Success in this profession also demands a detail-oriented, self-motivated mindset, project management capabilities to handle multiple monitoring streams, and a rigorous understanding of the regulatory landscape governing model risk (such as SR 11-7). Pursuing Regulatory Model Monitoring Execution Intermediate Analyst jobs means positioning yourself at the intersection of data science, finance, and regulation. It is a profession dedicated to ensuring the reliability of the models that underpin critical financial decisions and regulatory capital calculations, offering a challenging and impactful career for those dedicated to analytical excellence and risk mitigation.
