Director, Client and Climate Modelling at RBC — NeverHard

Job Description Reporting to the Senior Director, Enterprise Client Data and Enterprise Climate Data, you will be responsible for leading the design and delivery of modelling solutions that enable RBC to deliver on its client and climate enterprise strategic priorities. You will develop and implement models and data-driven solutions that power key metrics and enable high-impact use across our lines of business. What will you do? Lead the development, validation, enhancement, and implementation of climate and client models (e.g., LLMs, neural networks, and structured methods) supporting RBC’s climate and client strategic priorities. 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 our lines of business and functions to ensure alignment and execution. Communicate clearly and persuasively with stakeholders, especially through crisp, insight-rich presentations and executive briefings. Stay at the forefront of external best practices, modeling methodologies, and technology trends. What do you need to succeed? Must have: Manages data science initiatives of significant complexity, applying advanced technical expertise to solve abstract problems, and making independent decisions across business units for climate and client use cases Drives innovation across areas of responsibility identifying opportunities for making operational changes and practices, solving highly complex problems broadly related to data science Experience with programming languages like python and strong knowledge and experience in Model Development, Data Management and Model Governance Effective communication and presentation skills (written and verbal) Ability to adapt to a constantly evolving and fast-paced environment 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). Experience in consulting or enterprise strategy roles, especially within data, sustainability, or finance domains. Familiarity with climate and sustainability metrics (e.g., financed emissions, scenario modeling, transition alignment) and the foundational methodologies that underpin these metrics (e.g., PCAF, GHG Protocol). Experience working with client data masters and client matching What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Work in a dynamic, collaborative, progressive, and high-performing team Opportunities to do challenging work Opportunities to take on progressively greater accountabilities Job Skills Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis #J-18808-Ljbffr