What is the Opportunity?

The Retail Banking industry is changing rapidly with digitization of products, services, and channels, emerging non-traditional competitors, changing client demographics, preferences, and choices, and heightened regulatory attention on sales practices within retail banking sector across the globe. This role will help deliver an effective conduct risk strategy with a focus on designing and delivering advanced analytics aimed at mining insights from advisors' activities, sales results, client information, etc. to identify behaviors and sales practices that are not aligned with the target client experience or the RBC code of conduct. Collaborate with a diverse set of colleagues from across the enterprise (within Personal Banking, Operations, T&O, HR, Compliance, Group Risk, Fraud, Corporate Investigations Services etc.) and contribute to world class analytical tools that will help ensure RBC has strong and consistent sales and conduct practices in place.

What will you do?

• Define and drive the long-term analytical strategy for developing, enhancing, and maintaining cutting-edge assets (including AI/ML models) to address complex conduct risk challenges.
• Set the vision for the analytical team, ensuring alignment with RBC’s broader risk management and business objectives.
• Deliver best-in-class analytics to proactively identify, monitor, and manage risks related to employee conduct, sales practices, and client interactions, ensuring alignment with RBC’s risk appetite and regulatory expectations.
• Lead enterprise-wide efforts to address emerging conduct risk by partnering with key stakeholders (e.g. Operations, Cyber Security/JSOC, Compliance, LOBs, HR, Compliance, CIS, T&O, Fraud) to develop integrated solutions and foster a culture of risk awareness.
• Mentor and guide a high-performing team of data scientists, developers and analysts fostering innovation and delivering actionable insights that drive effective risk management and operational excellence.
• Oversee the management and optimization of data infrastructure to ensure robust, scalable, and efficient analytics and reporting capabilities, enabling real-time monitoring and decision-making.
• Develop intuitive, actionable insights and dashboards to empower stakeholders with clear visibility into conduct risk monitoring programs, enabling proactive intervention and strategic decision-making.
• Build on subject matter expertise to analyze structured/unstructured data (e.g., advisor activities, client interactions, transactions) and identify patterns indicative of high-risk or exemplary sales practices, driving actionable insights for conduct risk mitigation.
• Develop and refine analytical solutions using statistical/machine learning techniques (e.g., predictive models, LLMs, deep learning) to test hypotheses, baseline behaviors, and detect anomalies across the retail banking network.
• Shape the proactive monitoring strategy for advisor practices and client experience, leading Proof of Concept projects, risk mitigation planning, and iterative model enhancements aligned with regulatory and macro-environmental changes.

What do you need to succeed?

Must Have

• 10+ years of relevant business experience in risk analysis or predictive analysis.
• Advanced degree (Masters, Ph. D preferred) in Computer Science, Engineering, Mathematics, Statistics or other quantitative disciplines.
• Strong background in data analytics, risk control model development and demonstrated experience using advanced statistical, machine learning and AI techniques.
• Hands-on experience with large datasets (ingestion, processing, merging and aggregation of data), with fluency in both SQL and big data/cloud technologies (Hadoop, PySpark, S3).
• Strong SQL and Python coding skills to support automation and efficient end-to-end model scoring/implementation.
• Advanced data analytics, insight generation and visualization (i.e. tableau, dashboards)
• Experience with managing conduct, regulatory and/or operational risk.
• Deep understanding and proven ability to build relationships with internal and external partners.
• Familiarity with regional banking roles and products
• Strong interpersonal, influencing, and communications skills with an ability to interact effectively with executives
• Proven track record of solving ambiguous and highly complex problems using data and machine learning.

Nice to Have

• Publications in machine learning and artificial intelligence.
• Passion for ethical AI and experience in algorithm transparency and interpretability.
• Experience with machine learning development lifecycle and deep learning methods such as Transformers, GANs, DQN, VAE, SHAP, Counterfactuals and Adversarial examples etc.
• Expert working knowledge in standard Python libraries such as pandas, numpy and matlpotlib and with standard ML Python libraries such as scikit-learn, TensorFlow or PyTorch.
• Familiarity with a Linux environment and shell scripting.
• Experience deploying models into productions with MLOps (MlFlow, KubeFlow etc.).
• Experience working with ML Cloud platforms (AWS, Azure).
• Knowledge of big data ecosystem Hadoop/Spark.

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.

• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work

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

Additional Job Details

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOTorontoCanada37.5Full timePERSONAL & COMMERCIAL BANKINGRegularSalaried2026-02-172026-03-04

Note: 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.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.