Job Description
What is the opportunity?Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is looking to hire a Data & AI Engineer to build, manage and deploy cutting edge Data and AI solutions for Investment Research, Banking, Sales and Trading.
What will you do?
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 identity latency contributors, inefficient compute utilization and provide remediation recommendations.
Contribute to automation efforts via CI/CD pipelines, infrastructure-as-code, and reusable frameworks
Must-Have
Strong development skill in Python, SQL, PySpark (5+ years)
Degree in Computer Science or Engineering
In depth knowledge of Algorithms and Data Structures and distributed computing.
Experience building end to end Data & ML pipelines covering data ingestion, transformation, feature engineering, model development and tuning, evaluation, deployment and inference. (3+ years)
Solid understanding of database systems and working with both structured and unstructured data. (5+ years)
Excellent debugging, profiling, and optimization skills in high-throughput environments (5+ years)
Proficiency in CI/CD principles, version control and best practices for deploying large scale workloads to production. (5+ years)
Experience with Azure Databricks, Kubernetes (2+ years)
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Member of the front-end chapter, which provides training, events, and other opportunities for learning. You will also have an opportunity to share your work and experience with your peers
Leaders who support your development through coaching and managing opportunities
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Flexible work/life balance options
#TECHPJ
Job Skills
Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis
Additional Job Details
Address:
RBC CENTRE, 155 WELLINGTON ST W:TORONTO
City:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
CAPITAL MARKETSJob Type:
RegularPay Type:
SalariedPosted Date:
Final date to receive applications:
Note: Applications will be accepted until 11:59 PM on the day prior to the Final date to receive applications date aboveInclusion 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.
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