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Machine Learning Finance Jobs in Ontario (NOW HIRING)

Are you a curious and open-minded individual with an interest in programming and machine learning ... financial wellbeing. * Culture: Globally recognized, award-winning reputation for inclusion and ...

A leading North American financial institution is seeking an AI Developer to build software solutions that incorporate artificial intelligence and machine learning capabilities. The successful ...

ML/AI Developer

Toronto, ON · On-site

CA$65K - CA$140K/yr

Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

ML/AI Senior Developer

Toronto, ON · On-site

CA$80K - CA$175K/yr

Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

ML/AI Senior Developer

Toronto, ON · On-site

CA$80K - CA$175K/yr

Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

Data Scientist

Toronto, ON · On-site

CA$80K - CA$175K/yr

... through machine learning and advanced analytics. Salary : $80,000.00 - $175,000.00 Pay Type: Salaried The above represents BMO Financial Group's pay range and type. Salaries will vary based on ...

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$70K - CA$150K/yr

Build and maintain cloud-native platform services that support AI and machine learning workloads ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

... financial decisions and improve their overall experience. Build with Modern Technologies Work with LLMs, GenAI frameworks, cloud-native machine learning platforms, MLOps, and advanced AI ...

Toronto or Montreal.\n \n \n \n A leading North American financial institution is seeking an AI Developer to build software solutions that incorporate artificial intelligence and machine learning ...

Showing results 41-60

Machine Learning Finance information

See Ontario salary details

$22K

$115.8K

$214.5K

How much do machine learning finance jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning finance in Ontario is $115,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is a machine learning finance?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are some typical challenges faced by professionals in machine learning finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

What are the key skills and qualifications needed to thrive in machine learning finance, and why are they important?

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What are popular job titles related to Machine Learning Finance jobs in Ontario?

For Machine Learning Finance jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Machine Learning Finance job openings in Ontario as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $115,779 per year, or $55.7 per hour.

Winter 2027 - GRM, BSLR Liquidity Data & AI Intern (4 Months)

Toronto, ON • Hybrid

Royal Bank of Canada
Banking and Credit Intermediation • 10K+ employees

Full-time

Posted 12 days ago


Job description

Job Description

What is the opportunity?

Are you interested in the opportunity to work as a Data & AI Intern at RBC? Join the Group Risk Management - Balance Sheet and Liquidity Risk (GRM-BSLR) team, which performs the second line of defense role for all balance sheet and liquidity risks at the enterprise level. The team oversees liquidity risk across RBC, managing the complexity of large portfolios of assets, liabilities, and off-balance sheet instruments at the RBC level and within individual business lines and legal entities, while helping to meet regulatory expectations for liquidity risk oversight.

As a Data & AI Intern, you will help design and build innovative solutions that leverage artificial intelligence and machine learning to solve complex challenges in balance sheet and liquidity risk management - a hands-on role for a technically curious student eager to apply AI/ML to real-world problems in a highly regulated, data-rich environment.

What will you do?

  • Design, build, and deploy AI models (including large language models) to solve business problems and drive innovation
  • Collaborate with data engineers to ensure AI solutions are built on a robust, scalable, and modern data infrastructure
  • Work with business stakeholders, data scientists, and software engineers to align AI initiatives with organizational goals
  • Utilize the latest technologies and development tools, designing and building data and AI solutions to meet business needs
  • Constantly seek out better ways to do things - new tools, new technologies, new processes
  • Work on transformational projects that deliver new value to the group
  • Be an active contributor to your team and to the broader RBC development community

What do you need to succeed?

Must-have

  • Currently enrolled at a Canadian post-secondary institution with a focus on data science, computer science, mathematics, statistics, or machine learning
  • Programming skills in Python
  • Hands-on experience with AI/ML development
  • Familiarity with AI coding assistants (e.g., GitHub Copilot, Claude Code)
  • Creative and analytical thinker who is self-driven and capable of working in a fast-paced environment
  • Excellent interpersonal and highly developed communication skills (verbal and written)

Nice-to-have

  • Knowledge of the financial and/or risk management domain
  • Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge

What's in it for you?

  • Be part of a team leading the way in AI adoption and application for the broader group, working with the latest development tools
  • Mentorship from experienced professionals
  • A collaborative team culture grounded in innovation

Please note:This posting is for a 4-months Winter 2027 Student placement with a start date of January 2027, and end date of April 2027. In order to be eligible for this 4-months Student position, you must either:

  • Be returning back to school after the work term end-date of April 2027 ; or
  • If you are not returning back to school (i.e. are graduating in April 2027), you must require the full 4-months work term as a mandatory component to in order to graduate successfully.

Please ensure that you meet these eligibility requirements before applying- candidates who apply but are found to be ineligible are not able to be considered.

We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 20, 2026. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

RBC is committed to supporting flexible work arrangements when and where available. The successful candidate for this role will be required to be located within Ontario for the duration of the work term. Details regarding the specific virtual, hybrid, and in-office arrangementsfor this Integrated Learning/ Co-op position are to be discussed with the Hiring Manager.

ET27

Job Skills

Analytics Software, Business, Business Data Analysis, Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative, Researching, Software Development

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2026-08-26

Application Deadline:

2026-09-21

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

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME