Associate Director, Climate Analytics and Solution Enablement

Deliver analytics projects powering strategic products (internal & external), executive scorecards, sustainability disclosures, and regulatory filings.,Lead the development, validation, enhancement, and implementation of traditional and advanced models (e.g., LLMs, neural networks, structured methods) supporting RBC's climate and strategic priorities in accordance with enterprise risk management policies.,Translate uncertain, complex, and evolving business and regulatory requirements into robust analytics solutions with tangible business value.,Integrate models as core elements of analytics products used across the enterprise.,Collaborate with cross-functional teams across business lines and functions to ensure alignment and execution.,Communicate clearly and persuasively with stakeholders through crisp, insight-rich presentations and executive briefings.,Play a key role in a high-performing team of quantitative professionals, fostering innovation, growth, and delivery excellence.,Stay at the forefront of external best practices, modeling methodologies, and sustainability data trends, interfacing directly with external stakeholders (e.g., peers, PCAF/CBA working groups).

Experience delivering advanced analytics/modeling initiatives in cross-functional projects or teams with multiple stakeholders.,Demonstrated ability to embed models into business-facing tools or digital products to drive real-world outcomes.,Excellent communication skills with a strong ability to simplify and synthesize complexity for executive and non-technical audiences.,Nice-to-Have: Master's or PhD in a quantitative, technical, or interdisciplinary discipline (e.g., Statistics, Financial Engineering, Applied Mathematics, Climate Science, Computer Science).,Nice-to-Have: Experience in consulting or enterprise strategy roles, especially within data, sustainability, or finance domains.,Nice-to-Have: Familiarity with climate and sustainability metrics (e.g., financed emissions, scenario modeling, transition alignment) and foundational methodologies (e.g., PCAF, GHG Protocol).,Nice-to-Have: Familiarity with scenario modelling (e.g., IEA NZE, IPCC RCP/SSP, NGFS).,Nice-to-Have: Experience developing or governing analytics solutions in enterprise technology or cloud environments.