The Manager, Analytics Engineer, reporting to the Director, Credit Risk Infrastructure, is responsible for developing and implementing complex credit risk infrastructure and solutions. These solutions support RBC's stress testing programs (CCAR, EWST, MST) and credit provisioning programs (CECL, IFRS9). The role involves developing and maintaining ETL pipelines and downstream modules for these programs, creating technical documentation, and providing analytical support to ensure compliance for downstream users.
Develop and maintain ETL pipelines to support stress testing and credit provisioning programs.,Develop and maintain downstream modules used across stress testing and provisioning programs.,Create and maintain technical documentations on different modules delivered to support the programs.,Provide analytical support for downstream users to ensure compliance.
0-2 years of relevant work experience.,University degree in a quantitative discipline such as Engineering, Statistics, Economics, Math, or Computer Science.,Working knowledge with Python, SQL.,Working knowledge with version control systems, particularly Git.,Strong analytical, problem-solving abilities and excellent communication skills.,Self-starter with a curious mind to challenge and question the status quo.,Nice-to-Have: Proven experience in Python, SQL, Git.,Nice-to-Have: Familiarity with SAS.,Nice-to-Have: Experience working with big data solutions such as Spark, Trino.
University degree in a quantitative discipline (e.g., Engineering, Statistics, Economics, Math, Computer Science)
37.5 hours/week
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. As Canada's largest bank, it provides personal and commercial banking, wealth management, and capital markets services to over 17 million clients worldwide.
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