Associate-Model Risk

Role Overview: The Risk division at Goldman Sachs is responsible for credit, market, operational risk, model risk, independent liquidity risk, and insurance across the firm. As a member of the Model Risk Management (MRM) group, you will be part of a multidisciplinary team of quantitative experts spread across various locations globally. Your primary focus will be on managing risk associated with model use in the firm's diverse range of businesses. Key Responsibilities: - Drive efforts to enhance efficiency and automation of model risk management workflows - Establish, maintain, and enforce the MRM framework and governance structure - Design and develop automation and analytics tools for Model Risk management - Coordinate regulator requests on model risk management topics, respond to analysis and documentation requests, and support advocacy discussions - Liaise with Technology to ensure the maintenance of systems supporting model risk management workflows - Evaluate compliance with key regulatory rules, engage in new activity impact assessments, and approvals - Oversee ongoing Model performance monitoring jointly with Model Validation and enforce change control procedures - Manage Model validation findings, including tracking and escalation of findings - Maintain the firmwide model inventory by ensuring data integrity, resolving exceptions, inquiries from stakeholders, and providing ad-hoc analysis - Collaborate with model validators to communicate validation results and limitations to internal and external stakeholders Qualifications: - Strong development skills in Java and Python - Experience in web applications preferred (Spring boot, Fast API, Dash) - Excellent object-oriented development skillset for writing modular, testable, and scalable code - Strong verbal and written communication skills for interacting with stakeholders at various levels - Excellent analytical, quantitative, interpersonal, and organizational skills with a team-oriented mindset - 2-3 years of industry experience preferred - Bachelors degree in computer science, electrical engineering, mathematics, financial engineering, or finance preferred - Preferable: Financial industry experience, model development and/or validation experience.,