The Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is seeking a Data & AI Engineer. This role involves building, managing, and deploying advanced Data and AI solutions for Investment Research, Banking, Sales, and Trading, focusing on creating data products from various sources to provide actionable insights and optimizing ML and data processing workloads.
Build data products using structured and unstructured data from traditional and alternative sources to deliver actionable signals and insights for Investment Research, Banking and Global Markets.,Provide subject matter expertise in distributed and parallel computing.,Analyze ML and data processing workloads to identify latency contributors, inefficient compute utilization and provide remediation recommendations.,Contribute to automation efforts via CI/CD pipelines, infrastructure-as-code, and reusable frameworks.
Degree in Computer Science or Engineering.
Bachelor's Degree
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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