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Machine Learning Finance Jobs in Alberta (NOW HIRING)

Delivery Engineer - Canada

Calgary, AB

CA$80K - CA$120K/yr

  • Medical

  • PTO

Familiarity with anti-fraud concepts in the financial services or internet industry is a plus. * Exposure to real-time computing, big data technologies, or machine learning through coursework ...

Data Scientist

Red Deer, AB · On-site

  • Retirement

Design and deliver applied analytics and machine learning solutions across sales, retention, finance, operations, and talent (for example, customer segmentation, churn and renewal probability, book ...

New

Data Scientist

Edmonton, AB · On-site

  • Retirement

Design and deliver applied analytics and machine learning solutions across sales, retention, finance, operations, and talent (for example, customer segmentation, churn and renewal probability, book ...

New

Design and deliver applied analytics and machine learning solutions across sales, retention, finance, operations, and talent (for example, customer segmentation, churn and renewal probability, book ...

New

Strong background in Machine Learning frameworks, GenAI platforms, LLMs, and agentic AI * Exceptional communication skills to present technical concepts to finance stakeholders and business leaders ...

Strong background in Machine Learning frameworks, GenAI platforms, LLMs, and agentic AI * Exceptional communication skills to present technical concepts to finance stakeholders and business leaders ...

Senior Analyst

Edmonton, AB · On-site

  • Medical

  • Retirement

Collaborate with IFRS-9 stakeholders, including Economics, Finance, IT, Credit Risk Models, Model ... Knowledge of AI and Machine Learning would be an asset. * Excellent analytical skills to identify ...

Senior Analyst

Edmonton, AB · Hybrid

  • Medical

  • Retirement

Collaborate with IFRS-9 stakeholders, including Economics, Finance, IT, Credit Risk Models, Model ... Knowledge of AI and Machine Learning would be an asset. Excellent analytical skills to identify the ...

As a federal Crown corporation, we provide financing, knowledge resources and business management ... Experience with machine learning, artificialintelligenceor advanced modelling techniques Not sure ...

Senior Product Designer, Payments

Calgary, AB · Remote

  • Medical

  • Dental

  • Vision

... machine learning and generative AI. * Expert in design and prototyping tools and solid use of AI ... Strong experience in Fintech and financial product design, with a proven ability to turn complex ...

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Showing results 1-20

Machine Learning Finance information

See Alberta salary details

$22K

$115.8K

$214.5K

How much do machine learning finance jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning finance in Alberta 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 Alberta?

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

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

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

Infographic showing various Machine Learning Finance job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% 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.

Sr. Technical Project Manager - Client Service Delivery

DataVisor

Calgary, AB

CA$120K - CA$170K/yr

Full-time

Medical, PTO

Re-posted 19 days ago


Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview:
We are seeking a highly skilled technical Project Manager to join the client service team. On one hand this is a client-facing service delivery manger role. The ideal candidate will be managing all client communications and driving overall delivery schedule, be responsible for designing and implementing innovative integration solutions that meet our client's technical and business requirements. This role involves working closely with clients, sales teams, and other stakeholders to ensure successful project outcomes. On another hand, this is a technical delivery role. The candidate will be responsible for driving and managing all engineering threads in order to deliver the project, and conduct technical hands-on work as needed. This is also a technical hands-on role.

Key Responsibilities:

  • Manage and drive client communications throughout the entire delivery, align different client stakeholders, ensure project is delivered successfully without delay.
  • Work closely with clients, sales teams, and other stakeholders to ensure successful project outcomes.
  • Understand the client's product and business logic to recommend the best solution that addresses specific client needs. Provide strong solution and consulting services.
  • Take the project management role to ensure the client onboarding project runs as expected and under control.
  • Provide technical expertise and guidance throughout the implementation and deployment phases, to integrate with the client systems.
  • Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems.
  • Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings.
  • Conduct presentations and demonstrations of proposed solutions to clients and stakeholders.

Requirements

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a technical Project Manager or in a similar technical role.
  • Strong understanding of software development, system architecture, and integration principles. Strong solutioning skills on Saas platform data integration.
  • Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Strong client-facing communication skills and consultant/client management capabilities.
  • Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
  • Creative problem-solving skills and a results-oriented mindset.
  • Knowing auti-fraud in the Financial or internet industry will be a plus.
  • Experience in real-time computing, big data, or machine learning will be a plus.

Benefits

Health Insurance, PTO

The expected base salary range for this role is CAD $120,000 - $170,000 per year, depending on experience, skills, and location. This position may also be eligible for bonus, equity, and benefits.