Royal Bank of Canada

Lead, Machine Learning Engineer, GFT

Royal Bank of Canada • $120K — $150K *
Toronto, ON M3C 0E3In-Person
Finance & Insurance
5 - 7 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • PhD or Masters in quantitative discipline (computer science, mathematics, statistics, or engineering)
  • 7+ years of programming experience in Python and other languages
  • 5+ years working with large datasets, both structured and unstructured
  • 5+ years developing and deploying production models
  • Strong familiarity with machine learning libraries (numpy, pandas, scikit-learn)
  • Solid understanding of NLP and Generative AI concepts
  • Experience with MLOps practices and CI/CD for ML systems

Responsibilities

  • Leverage large data sets to translate business challenges into machine learning problems
  • Lead all phases of AI/ML initiatives from ideation to deployment
  • Design and implement Generative AI solutions and related architectures
  • Provide mentorship and technical leadership to junior team members
  • Collaborate with cross-functional teams to ensure compliance and scalability of solutions
  • Stay updated with the latest AI/ML technologies and assess their relevance to compliance
  • Communicate complex technical ideas to non-technical stakeholders

Benefits

  • Comprehensive Total Rewards Program including bonuses and flexible benefits
  • Supportive leadership focused on professional development
  • Opportunity to have a significant impact within the organization
  • Dynamic and collaborative work environment with a high-performing team
  • World-class training program in financial services
  • Challenging work with opportunities for advancement
  • Access to diverse job opportunities across the organization
Full Job Description
Job Description

What is the opportunity?

As a Senior Manager, AI and ML, you will be working on solving core business problems in compliance (trade surveillance, managing regulatory insights, etc) by leveraging AI and ML to optimize business processes and facilitate informed decision making. You will get the opportunity to work on cutting-edge technology and complex problems that generate significant value and have a high long-term impact on the bank's growth.

What will you do?
  • Work on challenging business problems by leveraging large RBC data, translating them into machine learning problems and applying advanced machine learning algorithms to generate business value
  • Lead the end-to-end lifecycle of AI/ML initiatives-from ideation and POC through development, deployment, and production support
  • Design and implement Generative AI solutions, including Retrieval-Augmented Generation (RAG) systems, LLM-powered agents, and NLP pipelines
  • Provide technical leadership and mentorship to team members, fostering a culture of innovation and continuous learning
  • Collaborate with engineering, architecture, and model risk management teams to ensure solutions meet enterprise standards for scalability, security, and governance
  • Stay current with emerging AI/ML technologies and evaluate their applicability to Compliance use cases
  • Communicate complex technical concepts to non-technical stakeholders and senior leadership


What do you need to succeed?

Must have:
  • PhD or Masters in a quantitative discipline such as computer science, mathematics, statistics, or engineering
  • Excellent verbal and written communication skills; ability to work collaboratively with cross-functional teams including business, engineering, and risk management
  • 7+ years of expert level programming experience in Python (preferable) and other languages is a must - ability to write production level code and documentation
  • 5+ years' experience working with large unstructured and structured datasets - exploring and understanding data, cleaning and pre-processing, performing exploratory data analysis, generating business insights and communicating them in a clear, concise manner
  • 5+ years' experience developing and deploying models in production for real business problems
  • Knowledge of standard machine learning libraries like numpy, pandas, scikit learn and visualization packages like seaborn or matplotllib, etc and machine learning algorithms like logistic regression, tree based models, decision trees, random forests, etc
  • Strong understanding and work experience with core NLP and Generative AI like embeddings, text pre-processing, RNN's, Transformer architecture, fine-tuning models, prompting techniques, etc
  • Demonstrated experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including vector databases, embedding models, and retrieval pipelines
  • Experience building and deploying RESTful APIs for ML model serving (FastAPI, Flask)
  • Experience with MLOps practices, model serving, monitoring, and CI/CD pipelines for ML systems
  • Experience working with version control - git and linux.


Nice-to-have:
  • Experience building autonomous AI agents and multi-agent orchestration frameworks (e.g., LangChain, LangGraph, AutoGen)
  • Prior experience in financial services, particularly in Compliance, Risk, or Regulatory Technology
  • Experience working with big data, pyspark, scala
  • Experience working with deep learning - RNN's, Transformer models, etc
  • 2+ years' experience working with Deep Learning Frameworks like Tensorflow or Pytorch


What's in it for you?

  • 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
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Opportunities to build close relationships with clients
  • Access to a variety of job opportunities across business and geographies


#LI-Post

#LI- PK

Job Skills
Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-04-27

Application Deadline:

2026-07-20
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

About Royal Bank of Canada

Royal Bank of Canada Careers

Join the dynamic team at Royal Bank of Canada (RBC), a global leader in financial services and a company committed to excellence and innovation. At RBC, we offer a wide range of job opportunities that empower professionals to shape their career paths with leadership, diversity training, and continuous growth.

Work You’ll Do

At Royal Bank of Canada, we are not just hiring; we are building a culture of innovation and leadership. Our team members are at the forefront of the financial industry, driving transformation and delivering targeted solutions that meet the evolving needs of our clients and communities.

Explore Job Opportunities and Employment at RBC

Whether you are starting your career or looking to take it to the next level, RBC offers positions that challenge your skills and fuel your ambition. From entry-level positions to leadership roles, our job opportunities span across various functions and regions. Join us and be part of a team that values professional growth and diversity.

Internship and Professional Development

Kickstart your career with an internship at Royal Bank of Canada. Our internships provide invaluable hands-on experience, networking opportunities, and insights into the financial services industry. Interns at RBC gain the skills necessary to excel and are often considered for full-time positions within the company.

Benefits and Culture

At RBC, we prioritize the well-being and satisfaction of our employees. Our benefits package is designed to support our team members at every stage of their life and career. RBC’s culture is built on a foundation of respect, integrity, and responsibility, fostering an environment where everyone can thrive.

Career Growth and Innovation

We believe in nurturing the potential of our employees through continuous learning and career development programs. At RBC, you will find endless opportunities to grow professionally through on-the-job experiences, formal training programs, and leadership development initiatives. Our commitment to innovation means we are constantly seeking out new ideas and perspectives, making RBC a perfect place for those who aim to lead and innovate.

Diversity and Inclusion

Diversity is our strength. At Royal Bank of Canada, we are committed to building an inclusive workplace where every employee feels valued and respected. Our diversity training programs are designed to educate and inspire, creating a more inclusive and equitable workplace.

Join Our Team

Search open positions that match your skills and interests. We look for passionate, curious, creative, and solution-driven team players. Start your journey with RBC today and be part of a world-class team known for its commitment to client service, community involvement, and innovation.

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Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities awaiting you at RBC. Explore the possibilities with Royal Bank of Canada, where your future is filled with potential and the path to success is paved with countless opportunities for professional and personal growth. Join us and shape not just your career but the future of the financial industry.
Learn more about Royal Bank of Canada
Size
86,007 employees
Market Cap
$130.3 billion
Industry
Finance & Insurance
5 Year Trend
+8.7%
NASDAQ
RY
* Ladders Estimates

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