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)

• Experience with Terraform

What’s 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, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work

The Good-Faith Expected Salary Range For The Above Position Is $135,000 - $225,000 Depending On Factors Including But Not Limited To The Candidate’s Experience, Skills, Registration Status; Market Conditions; And Business Needs. This 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.

RBC's 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 RBC's 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 Languages

Additional Job Details

BROOKFIELD PLACE FKA 3 WORLD FINANCIAL CENTER, 200 VESEY STREET:NEW YORKNew YorkUnited States of America40Full timeCAPITAL MARKETSRegularSalaried2025-07-072025-08-02

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.