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You will be updated with latest job alerts via email$ 135000 - 225000
1 Vacancy
Job Summary
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
What do you need to succeed
Must Have
Python SQL PySpark MLflow
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.
Nice to Have
Experience with Azure Databricks Spark Snowflake Kubernetes
Exposure to Generative AI stack (LLMs Agents MCP Servers)
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.
Excellent exposureto communicate with various business partners and stakeholders in Investor Services and within other platforms as appropriate
Working with an exciting close-knit supportive & dynamic group
Opportunity to collaborate with other business segments within the bank
Excellent career development and progression opportunities
A comprehensive Total Rewards Program including bonuses and flexible benefits
Competitive compensation
The Good-Faith Expected Salary Range For The Above Position Is $135000 - $225000 Depending On Factors Including But Not Limited To The CandidateS Experience Skills Registration Status; Market Conditions; And Business Salary Range Does Not Include Other Elements Of Total Compensation Including A Discretionary Bonus And Benefits Such As A 401(K) Program With Company-Matching Contributions; Health Dental Vision Life And Disability Insurance; And Paid Time-Off Plan.
RbcS Compensation Philosophy And Principles Recognize The Importance Of A Highly Qualified Global Workforce And Plays A Critical Role In Attracting Engaging And Retaining Talent That:
Drives RbcS High Performance Culture
Enables Collective Achievement Of Our Strategic Goals
Generates Sustainable Shareholder Returns And Above Market Shareholder Value
#LI-POST
Job Skills
Analytical Thinking Artificial Intelligence (AI) Artificial Intelligence Technologies Big Data Management Data Mining Data Modeling Data Science Deep Learning Machine Learning Parallel Computing Predictive Analytics Programming LanguagesAdditional Job Details
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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.
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Required Experience:
Director
Full-Time