Job Description

Job SummaryWhat is the opportunity?The GRM Portfolio Risk Oversight and Analytics team (PRO) is committed to providing independent and effective on-site monitoring, control, and communication regarding material risks for Business Financial Services (BFS).We are seeking a highly skilled Associate Director to join our team. In this role, you will develop data and analytics tools to support credit risk management for Commercial & Wholesale portfolios. You will contribute to the overall success of BFS risk oversight strategies and objectives by executing reporting functions, strengthening risk methodologies, and evolving the analytics capabilities of the team. Your extensive experience in Data & Analytics Engineering will be essential in enhancing data capabilities, providing deeper insights, and enabling better data-driven business decisions.To succeed in this role, you will need to develop and maintain strong relationships with various stakeholders to support insight generation & decision-making through custom analytics and the continuous evolution of the PRO data infrastructure. The PRO team operations requires ongoing refinements and enhancements to deliver relevant and timely self-serve analytics to business users. Your role will be crucial in leveraging data effectively to ensure the team's success. As a hands-on data & analytics practitioner , you will ensure that data is tracked, maintained, and analyzed to optimize operational processes and improve business decisions.The Associate Director, Credit Analytics & Insights will play a key role in driving data-driven decision-making, risk assessment, and automation initiatives . This role will focus on developing analytical models, integrating AI/ML techniques, and enhancing credit risk reporting frameworks to support better credit decisioning, portfolio monitoring, and strategic planning.We are looking for a bright, committed, and high-performing individual to drive PRO's data initiatives. The ideal candidate will possess strong analytical, quantitative, financial, credit risk, and business acumen, along with excellent communication skills.What will you do?

• Develop in-depth understanding of credit risk across industries or credit products within BFS.
• Provide analytical support on Ad Hoc requests originating from stakeholders in business and GRM teams, and senior management.
• Develop and implement data products (Dashboards/Reports) to support credit risk management for Commercial & Wholesale portfolios
• Translate business needs into data products by engineering ETL solutions, ensuring data quality and integrity.
• Build and iteratively improve data pipelines by navigating enterprise data warehouse and leveraging open-source querying and programming tools.
• Engage cross functional stakeholders to enhance data structure and quality for valuable credit risk capabilities and strategies.
• Identify and integrate new and innovative data sets to improve existing risk metrics & models and explore new data utilization opportunities for current and future products.

What do you need to succeed?
Must-have:

• Degree in Computer Science, Mathematics/Statistics, Engineering, related field or equivalent related experience
• Experience in statistical methods, strong data profiling, cleaning, and mining
• Ability to perform complex data analysis on large volumes of data and present findings to senior leaders in order to inform strategic decisions
• Demonstrated ETL and big data modeling capabilities, with programming experience in large databases/datasets and using Python, Trino
• Deep data knowledge on RBCs EDW
• Experience on data extract/ingestion against EDL
• Advanced proficiency in developing reports using Tableau
• Exceptional analytical and critical thinking skills with the ability to develop data-driven insights and perform root cause analysis.
• Strong communication, collaboration, and problem-solving skills, including data modeling and translating technical expertise into business language.
• Proficient in programming languages such as Python, R, SAS, and SQL for data manipulation and analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI) and analytics platforms.
• Agile mindset with a commitment to continuous improvement and the ability to iteratively enhance modeling or data pipeline processes.
• Solid understanding of RBC's Risk and Finance processes, risk systems infrastructure, and data architecture.
• Extensive experience in Data Science and Business Analytics, with a proven track record of enhancing data capabilities and driving business decisions.
• Knowledge of data governance frameworks, data quality management, and data security practices.

Nice-to-have

• Demonstrated leadership in cross-functional environment.
• Familiar with enterprise risk management framework.
• At least 5 years of professional work experience in the area of Data Analytics / Data Science / Business Analytics
• Strong experience in the big data ecosystem, with Hadoop (Hive, HDFS), Apache Spark, and NoSQL/SQL databases
• Strong programming skills, with experience in languages such as Python and SQL
• Strong experience in open source frameworks
• Experience with Natural Language Processing and supervised/unsupervised learning methodologies.

Whats 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 and competitive compensation
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Flexible work/life balance options
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work

Job Skills Economic Analysis, Financial Engineering, Financial Services Industry, Fund Analysis, Investment Banking, Investment Consulting, Investment Performance Measurement, Investment Risk Management, Long Term PlanningAdditional Job DetailsAddress: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOCity: TORONTOCountry: CanadaWork hours/week: 37.5Employment Type: Full timePlatform: GROUP RISK MANAGEMENTJob Type: RegularPay Type: SalariedPosted Date: 2025-03-25Application Deadline: 2025-04-05Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveInclusion and Equal Opportunity EmploymentAt 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.Join our Talent CommunityStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at .

Royal Bank of Canada