Portfolio Credit Risk Lead Analyst

• Support risk rating model oversight activities and prepare Governance Forum reviews, including prioritization of model changes, development, and assessment of model limitations and overlays
• Provide independent review of annual and multi-year model enhancement plans to formulate wholistic opinion on these developments to aid Senior Management decisions and meet Model Users expectations
• Build sustainable, repeatable, and automated analytics supporting centralized model and risk rating related governance, including benchmarking and independent performance analysis of risk rating and PD models
• Perform advanced ad hoc analytics and root cause analyses to respond to regulatory and business questions and provide insights, leveraging the best market practices and knowledge on risk ratings, PD modelling and related concepts
• Support business and independent risk analysis to provide portfolio insights, define requirements, navigating technical model and risk rating policy and process related terms and documentation
• Partner with and support the Model Sponsors, Model Developers, Model Users in 1st and 2nd line of business and Governance Forum activities concerning Wholesale Risk Ratings models and methodologies
• Liaise with Model Developers to implement model methodology, such as inputs and outputs, along with qualitative components and model adjustments to ensure alignment with portfolio-specific nuances and expectations
• Collaborate closely with other functions, such as product development and technology to ensure seamless integration and execution of model and risk rating oversight and implementation activities

• 5+ years of experience in the financial industry, with significant exposure in developing analytical methodologies and modelling frameworks for of wholesale credit risk measurement, regulatory capital and/or stress testing
• 3+ years of prior experience in a model development or model risk management function primarily working on PD and risk rating models and methodologies
• Knowledge of coding in R, Python, or SAS, as well as writing and/or reviewing technical documentation
• Comprehensive understanding of quantitative and qualitative methodologies and regulatory requirements used in credit risk modelling, particularly for the capital, stress testing and reserves calculations
• Demonstrated knowledge across various wholesale credit portfolios and products, including an understanding of financial instruments and market dynamics
• Ability to assess complex issues through root cause analysis and other analytical techniques
• Strong oral and written communication skills, with a proven ability to synthesize complex concepts, translate into "user friendly" language, and present effectively and persuasively in text or slide format
• Strong analytical skills with ability to identify and communicate root causes and trends
• Proficient in Microsoft Office, particularly Excel (metrics and data analysis), PowerPoint (presentations), and Word (documentation)
• Ability to manage multiple priorities and tasks, highly motivated with attention to detail, team-oriented, organized, pro-active, and capable of executing effectively across businesses, functions, and geographies
• Ability to quickly assimilate and analyse large amounts of information
• Project management skillsets and experience working with diverse groups of stakeholders to achieve milestones and deadlines
• Strong interpersonal skills and a proven ability to build and maintain effective working relationships with cross-functional partners in risk analytics, technology, and reporting
• Bachelor’s/University degree, Master’s degree preferred. CFA/FRM is a plus

CFA/FRM is a plus

• Competitive base salary (which is annually reviewed)
• Additional benefits that support you (and your family) to be well, live well and save well
• Business casual workplace
• Hybrid working model (up to 2 days working at home per week)