Associate Director, Enterprise Model Risk Management

Associate Director, Enterprise Model Risk Management To join RBC's Group Risk Management team, as an Associate Director, Enterprise Model Risk Management you will be responsible for end‑to‑end execution and documentation of credit risk model validation projects within RBC’s Canadian Banking platform. You will independently assess and provide an objective opinion on the soundness of credit risk models using both qualitative and quantitative industry best practices. Responsibilities Perform initial review and validation of newly developed credit models and make recommendations supporting the use of the model. Employ quantitative and qualitative techniques to review, test, replicate, challenge, benchmark and assess credit risk models. Utilise strong analytical and written communication skills to execute ongoing model validations once models reach their expected outcome period for all Canadian Banking credit risk models as governed by RBC’s Enterprise Model Risk Management policy. Develop comprehensive reports summarizing key observations, conclusions, and recommendations in support of completed model validations. Ensure model validations are planned and completed in accordance with timelines established in the Enterprise Model Risk policy based on each model’s materiality and uncertainty rating. Qualifications 3+ years of model development or model validation experience, preferably related to credit risk models used within the financial services industry. Hands‑on experience with artificial intelligence/machine‑learning modeling techniques (deep learning, XGBoost) as well as logistic regression modeling techniques. Proficient Python programmer with a proven track record of delivering high‑quality code. Comfortable working with large data sets; solid understanding of data extraction and data mining, proficiency in SQL. Strategic thinker with superior interpersonal, verbal and written communication skills and strong consensus‑building skills. Post‑graduate degree in a quantitative field of study (e.g., PhD, MSc in Mathematical Finance, Statistics, Computer Science, Applied Mathematics, Data Science or comparable). Nice‑to‑Haves Knowledge of Canadian retail banking products and processes; strong understanding of retail credit risk modelling theories, principles and industry best practices. Strong understanding of RBC’s policies, procedures, systems, risk appetite, risk tolerance, strategies and the overall role of risk management within RBC. Experience with Hadoop, Spark, object storage solutions; familiarity with Tableau or other data visualisation tools; experience with version control tools (Git). What’s in it for you A comprehensive Total Rewards Program including bonuses and flexible benefits. Leaders who support your development through coaching and managing opportunities. Ability to make a difference and lasting impact. Work in an agile, collaborative, progressive, and high‑performing team. The opportunity to interface with executives from many different parts of the organization. Job Details Address: ROYAL BANK PLAZA, 200 BAY ST:TORONTO City: Toronto Country: Canada Work hours per week: 37.5 Employment Type: Full time Platform: GROUP RISK MANAGEMENT Job Type: Regular Pay Type: Salaried Posted Date: 2025-07-09 Application Deadline: 2025-11-08 Applications will be accepted until 11:59 PM on the day prior to the application deadline date above. Inclusion and Equal Opportunity Employment At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. #J-18808-Ljbffr