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Machine Learning Finance Jobs in Ontario (NOW HIRING)

Associate, Data Scientist

Toronto, ON

CA$90K - CA$120K/yr

  • Medical

  • Life

  • Retirement

... machine learning frameworks. Strong programming skills (Python preferred) and experience with cloud technologies. Familiarity with financial tools such as Bloomberg, FactSet, and Thomson Reuters is a ...

Senior Data Scientist

Toronto, ON · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead complex analytics, machine learning, and generative AI initiatives from problem framing ... Experience in financial services, insurance, or another regulated environment. When you join our ...

Senior Data Scientist - GenAI

Toronto, ON · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and lead machine learning and AI driven projects that span the breadth of Group Functions ... About Manulife and John Hancock Manulife Financial Corporation is a leading international financial ...

Sr. GenAI Engineer

Toronto, ON · Hybrid

CA$130K - CA$145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... financial services and technology firms. Through research and development initiatives in our ... This role will lead the design, development, and implementation of advanced machine learning models ...

Data Scientist

Toronto, ON

CA$82K - CA$154K/yr

  • Medical

  • Life

  • Retirement

Develops prediction systems and machine learning algorithms. Investigates additional technologies ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our Fraud, Losses, and Financial Crime ...

Data Scientist 2

Toronto, ON · Hybrid

CA$84K - CA$126K/yr

  • Medical

  • Retirement

Train and evaluate applied statistics and machine learning models, using open source and cloud ... We offer competitive salaries and support your financial health through our employee share purchase ...

Senior Data Scientist

Toronto, ON · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this role, you will lead the design and deployment of high impact machine learning and AI ... About Manulife and John Hancock Manulife Financial Corporation is a leading international financial ...

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 Aug 17, 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.

Can machine learning be used in finance?

Machine learning finance roles involve applying algorithms to analyze financial data, detect patterns, and make predictions for trading, risk management, and fraud detection. Professionals in this field often use tools like Python, R, and specialized libraries, and require strong statistical and programming skills. These applications improve decision-making and operational efficiency in financial institutions.

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 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 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 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:

What job categories do people searching Machine Learning Finance jobs in Ontario look for?

The top searched job categories for Machine Learning Finance jobs in Ontario are:

Infographic showing various Machine Learning Finance job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,779 per year, or $55.7 per hour.

CA$90K - CA$120K/yr

Full-time, Part-time

Medical, Life, Retirement

Re-posted 12 days ago


Job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Capital Mrkts Sales & Service, Data Analytics & Reporting

BMO Capital Markets is a leading, full-service North American-based financial services provider, withover 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services.BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North Americawith US$1.0 trillion total assets andapproximately 54,000 employees as of January 31, 2025.

About the Role

We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing advanced analytics and machine learning models to support algorithmic trading strategies, and drive business decisions in the front office, Investment Banking, and Corporate Banking. You will collaborate closely with business teams and other stakeholders to understand their data needs and provide insights that improve trading performance and profitability.

Our Team

The Data Cognition Team (DCT) at BMO Capital Markets delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units. Leveraging cutting-edge data and analytics technologies, we solve complex business challenges and drive strategic transformation across Investment Banking, Global Markets, and other divisions.

Key Responsibilities

Develop and implement advanced analytics and machine learning models using techniques such as Generative AI, Deep Learning, and Reinforcement Learning.

Build predictive models for algorithmic trading across asset classes including Equities, Fixed Income, Commodities, and Foreign Exchange.

Collaborate with trading desks, investment banking teams, and corporate banking stakeholders to identify opportunities and optimize strategies.

Research and experiment with new machine learning techniques, including time series analysis, to improve trading performance and profitability.

Design and maintain reproducible machine learning pipelines for production environments.

Analyze large datasets to extract insights and support strategic decision-making.

Communicate complex technical concepts to non-technical stakeholders and present findings to senior management.

Visualize complex data clearly and concisely for business consumption.

Qualifications

Ph.D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance, economics, or operations research preferred).

Minimum 3 years of experience in data science or machine learning; experience in capital markets is a strong asset.

Proficiency in statistical modeling, time series analysis, and machine learning frameworks.

Strong programming skills (Python preferred) and experience with cloud technologies.

Familiarity with financial tools such as Bloomberg, FactSet, and Thomson Reuters is a plus.

Excellent problem-solving skills and ability to formulate hypotheses and learn from data.

Strong communication skills for effective collaboration with technical and business stakeholders.

Team-oriented, adaptable, and detail-focused with a results-driven mindset.

Nice to Have

Experience with Generative AI and advanced ML techniques.

Knowledge of investment banking concepts, trading strategies, and financial data formats.

Familiarity with MLOps tools and practices for model deployment and monitoring.

What We Offer

Join our dynamic team at BMO Capital Markets and contribute to solving complex challenges in investment banking and global markets using innovative technologies. We offer opportunities for professional growth, access to cutting-edge tools, and the chance to make a significant impact on critical business operations. Apply today with your resume, highlighting your relevant experience in data science and finance.

Base Salary: $90,000-$120,000 CAD

(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

Salary:

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.