Model Governance and Validation QA Advisor

Role Overview

• Maintain a validation quality assurance framework to ensure model validation teams complete model validation activities commensurate with requirements established in enterprise model risk policy, standards, and procedures
• Perform quality assurance reviews and recommend solutions for compliance with internal policies, standards, and procedures and regulatory guidance.
• Complete quality assurance reviews and other quality assurance-related program elements across model risk teams, 2nd line functions, and other stakeholders
• Maintain and report comprehensive program metrics and key performance indicators to colleagues and senior leaders.
• Provide support for governance activities, including policy, standard, procedure, job aid, and template updates; reporting; training; and cross-functional coordination.
• Apply understanding of relevant business context to interpret results, monitor performance, and assess risks, which may include the application of mathematic, statistical, and econometric techniques.
• Provide innovative, thorough, and practical solutions that support business strategies and initiatives.
• Perform ad hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python.
• Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
• Identify opportunities to apply quantitative methods to improve business performance.
• Counsel teams on company policies and industry-wide modeling practices.
• Inform the team's direction for validation or testing strategies to monitor performance, and assess risks.
• Communicate technical subject matter clearly and concisely to team leadership and internal/external stakeholders both verbally and through written communication.
• Foster a culture of continuous improvement and quality excellence.

Requirements

• 6 years in model governance, model validation, or model development
• Excellent oral and written communication
• Experience presenting information and/or ideas to an audience in a way that is engaging and easy to understand
• Excellent analytical problem-solving and decision-making skills, with the ability to effectively prioritize and manage multiple tasks and deadlines.
• Expertise in quantitative analytics applied to one or more areas within credit, interest rate, counterparty credit risk, and/or fixed income valuation in the financial services industry
• Adept at analyzing data to identify trends or relationships to inform conclusions about the data; critical thinking
• Influencing skills including negotiating, persuading others, facilitating meetings, and resolving conflict
• Bachelors degree

Tech Stack

• Python
• SQL

Benefits

• Health insurance
• 401(k) matching
• Flexible work arrangements
• Professional development opportunities
• Paid time off