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Machine Learning Finance Jobs in Alberta (NOW HIRING)

SGI

Actuarial Analyst (Auto/Property Pricing)

Edmonton, AB · On-site +1

CA$74K - CA$132K/yr

Understands and builds models using modern modeling techniques, including machine learning models ... Works closely with Product Management, Finance, Risk Management, Claims and Underwriting to develop ...

New

SGI

Actuarial Analyst (Auto/Property Pricing)

Calgary, AB · On-site +1

CA$74K - CA$132K/yr

Understands and builds models using modern modeling techniques, including machine learning models ... Works closely with Product Management, Finance, Risk Management, Claims and Underwriting to develop ...

New

Heritage Park

Railway Maintenance Engineer

Calgary, AB

  • Medical

  • Dental

  • Life

  • PTO

They lead a team of mechanical specialists trained in welding, machining, and pipe fitting ... Demonstrate responsible stewardship of our people, collections, and financial assets by driving ...

Canadian Forces Morale and Welfare Services - CFMWS

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... financial and familial well-being. CFMWS employees deliver programs and services including ... Learning and Development: Tuition Reimbursement Program, online learning opportunities including a ...

Johnson Controls

Fabrication Supervisor

Nisku, AB

CA$71K - CA$106K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will have the opportunity to develop yourself through meaningful work projects and learning ... Ability to read blueprints and program machining equipment to produce required parts. * Review and ...

Johnson Controls

Fabrication Supervisor

Sherwood Park, AB

CA$71K - CA$106K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will have the opportunity to develop yourself through meaningful work projects and learning ... Ability to read blueprints and program machining equipment to produce required parts. * Review and ...

Johnson Controls

Fabrication Supervisor

Edmonton, AB

CA$71K - CA$106K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will have the opportunity to develop yourself through meaningful work projects and learning ... Ability to read blueprints and program machining equipment to produce required parts. * Review and ...

Amrize

Loader Operator

Calgary, AB

CA$35.82/hr

  • Medical

  • Dental

  • Life

  • Retirement

Physically fit with stamina to operate machinery in various weather conditions and extended hours ... Access to online learning platforms, financial educational assistance, and a culture that fosters ...

SNDL, Inc.

Store Supervisor

Airdrie, AB · On-site

Support the store in meeting financial targets and following cash-handling procedures. * Maintain a ... Ability to work , climb ladder, operate machinery when necessary * Comfortable working in a fast ...

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Showing results 21-40

All JobsMachine Learning Finance JobsMachine Learning Finance Jobs in Alberta

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:

Machine Learning Finance jobs near you
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.

Senior Model Risk & Validation Consultant

Wawanesa Insurance

Calgary, AB • Hybrid

CA$120K - CA$145K/yr

Full-time, Part-time

Retirement, PTO

Posted 21 days ago

Job description

Job ID: 10224 


Employment Type: New Role

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Quebec City, QC, Moncton, NB; Dartmouth; NS. 

Working Business Language: English. This role is considered a head-office role and will be required to communicate with internal stakeholders across Canada where the primary business language utilized is English. 
 

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan. 
 

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $120,000 - $145,000. Candidates with salary expectations outside of the range are still encouraged to apply.

About The Wawanesa Mutual Insurance Company
Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada's largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026, Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.


Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

Reporting into the Enterprise Risk Management function, the Senior Model Risk & Validation Consultant plays a key role in independent review, validation, and challenge of models across the enterprise, including traditional statistical models, actuarial models, machine learning and AI systems.
This role supports the organization's compliance with OSFI Guideline E 23 and evolving regulatory expectations for AI governance, fairness, transparency, and explainability, while promoting strong model risk governance and risk aware decision making across the enterprise. 
The successful candidate will bring strong data science and quantitative modeling expertise, combined with experience in model validation, independent review, or second line oversight, and will work with a high degree of autonomy to challenge model assumptions, methodologies, and controls.

Job Responsibilities

Independent Model Validation & Challenge

  • Conduct independent validation and effective challenge of enterprise wide models across the full model lifecycle, in line with OSFI Guideline E 23.
  • Review model conceptual soundness, data inputs, assumptions, methodology, performance, stability, limitations, and intended use.
  • Assess model risk severity and the adequacy of controls, overlays, monitoring, and governance arrangements.
  • Provide independent validation and risk challenge of AI and ML models, including data quality, bias, explainability and performance monitoring
  • Evaluate model reproducibility, explainability, documentation quality, and transparency.

Model Risk Governance

  • Contribute to the ongoing enhancement of the Model Risk Management Framework, including model inventory management, risk classification, validation standards and documentation requirements.
  • Support Model Risk Adjudication Committee (MRAC) activities by: 
    • Managing and updating enterprise model inventory.
    • Preparing independent validation summaries and risk assessments.
    • Tracking findings, remediation actions, and residual risk acceptance decisions.
    • Provide input into updates to model risk policies, procedures, and guidance, aligned with OSFI and AMF expectations.
    • Promote strong model development and monitoring practices across the organization through guidance, challenge, and education. 
  • Perform other duties as assigned.
Qualifications
  • Bachelor's degree in data science, actuarial science, computer sciences, mathematics, statistics or other related discipline.
  • More than six years of model development or validation experience an asset.
  • Strong programming skills with Python and SQL.
  • Experience validating or reviewing statistical, predictive, machine learning models and AI systems. 
  • Ability to clearly explain complex technical concepts to non technical stakeholders.

#LI-AF1 #LI-Hybrid


Diversity Equity, Inclusion& Belonging
At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people - this is supported by having a representative workforce.

We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas. 
 

We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.
 

All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.  
 

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