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Ai Risk Analyst Jobs in Calgary, AB (NOW HIRING)

Worthland

Lead Risk Manager, Payment Fraud

Calgary, AB · Hybrid

$150K - $180K/yr

... AI-driven detection systems that automate over 90% of fraud interception and free the team from manual review cycles. This is a builder role for a Risk Leader with hacker instincts and raw analytical ...

Worthland

Lead Risk Manager, Payment Fraud

Calgary, AB · Hybrid

$150K - $180K/yr

... AI-driven detection systems that automate over 90% of fraud interception and free the team from manual review cycles. This is a builder role for a Risk Leader with hacker instincts and raw analytical ...

PCL Construction

AI Analyst

Calgary, AB · On-site +1

CA$77K - CA$100K/yr

Analyzing workflows to define problems and identify and prioritize AI use cases based on value, impact, feasibility, and risk. * Coordinating AI solutions by documenting requirements and supporting ...

Clio

Senior Privacy Analyst

Calgary, AB · Remote

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of ... Conducting risk assessments like DPIAs and PIAs in a technology environment is a routine activity ...

Accenture

AI & Data Utilities Leader

Calgary, AB · On-site

We believe a mix of data, analytics, automation, and responsible AI can do almost anything - spark ... Ensure quality, risk management, and delivery health across workstreams; manage dependencies ...

Capital Power

Sr. Analyst, Market Data

Calgary, AB · On-site

The Sr. Analyst, Market Data owns Capital Power's end-to-end price curve framework within the Risk ... Leverage AI and emerging analytical tools (e.g., Copilot, LLMs, machine learning libraries) to ...

Clio

Senior CorpSec Analyst

Calgary, AB · On-site

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of ... Comfortable jumping onto due-diligence calls if Compliance requires assistance with customer Risk ...

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Ai Risk Analyst information

What is an AI risk analyst?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

What skills and qualifications are needed to be an AI risk analyst?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

How does an AI risk analyst collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What are popular job titles related to Ai Risk Analyst jobs in Calgary, AB?

For Ai Risk Analyst jobs in Calgary, AB, the most frequently searched job titles are:

Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Calgary, AB as of September 2026, with employment types broken down into 85% Full Time, 5% Temporary, 5% Contract, and 5% Nights. Highlights an 65% In-person, 20% Hybrid, and 15% Remote job distribution.

AltaGas - Risk Analyst, Contracts & Compliance

Calgary, AB • On-site

Washington Gas Light Co.
Utilities • 1 - 5K employees
Learn more about Washington Gas Light Co.external

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Washington Gas Light rating

8.0

Company rating: 8.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Job Description

Reporting to the Team Lead, Risk Compliance and Contracts, theRisk Analyst - Contracts & Confirmations is responsible for supporting the energy trading contracts and confirmations process and identifying and implementing strategies to improve and streamline trade compliance processes. They will drive compliance, while ensuring adherence to appropriate controls.

Role & Responsibilities

  • Risk Review of transactions in the ETRM system
  • Verify that trades are executed accurately and in accordance with approved transaction limits
  • Create trade confirmations and send them to counterparties
  • Review incoming trade confirmations and research and analyze any discrepancies with counterparties and the AltaGas commercial team
  • Complete new customer onboarding and maintain customer and vendor master data including updates and changes as requested.
  • Collaborative communication with the other Middle Office teams with regards to transactions that may impact their reporting
  • Assist in implementation and communication of processes to support Middle Office trade compliance policies
  • End of Day processing for commercial representatives
  • Shared responsibilities for contracts, reporting and compliance
  • Participate in projects and testing functionality of new systems
  • Participate in process improvement and documentation activities
  • Leverage the use of AI technology to improve efficiency and reduce manual effort.

Skills & Qualifications

  • 2+ years previous experience in the energy industry
  • Post-secondary degree or equivalent experience
  • Strong computer skills a necessity with an aptitude to learn new systems
  • Experience in working through details of a problem, overcoming obstacles and reaching a positive and successful solution using strong analytical skills and an attention to detail
  • Ability to prioritize and balance fluctuating workload
  • Experience dealing with commercial representatives in a fast-paced environment
  • Experience with an ETRM software platform is an asset
  • Knowledge of SOX controls performance demands
  • Strong communication skills as this role works with a variety of internal and external customers

This role is ideal for a collaborative supply chain leader who thrives in a project-focused environment, brings strong commercial acumen, and is passionate about delivering value through strategic sourcing, contracting excellence, and high-performing teams.

Why work at AltaGas?

AltaGasis a North American energy infrastructure company with a focus on owning and operating assets that provide affordable energy to our customers. AltaGas assets include Washington Gas/WGL, SEMCO, and Petrogas. Our talented team, nearly3,000strong, leverages the strength of our assets and expertise along the energy value chain to connect customers with premier energy solutions - from the well sites of upstream producers to the doorsteps of homes and businesses to new markets around the world.

We deliver clean and affordable natural gas to approximately1.7 million customers' homes and businesses through regulated natural gas distribution utilities acrossfour jurisdictions in the United States and two regulated natural gas storage utilities in the United States. Learn more about our team, vision, and strategy.

To learn more about our mission: https://youtu.be/k1mrKDdsYW8?si=y1k3NOyHxgf4emdL

#LI-JH1

For Canadian hires: AltaGas hires personnel on the basis of job-related qualifications. All qualified applicants will receive consideration without regard to a person's ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity or expression, age, record of offences, marital status, family status or disability or any other characteristic protected by applicable law.

For U.S. hires: WGL/SEMCO/AltaGas offers a total rewards package that includes competitive pay, incentive bonus plans, holiday pay, 401K matching and a wide array of benefits. These benefits including medical, dental and vision coverage are designed to help you and your family stay healthy. We also have paid time off (PTO) to balance the demands of your work and personal life. Available benefits vary depending upon the specifics of the role.

U.S. affiliates of AltaGas are committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, ethnicity, religion, gender, age, national origin, marital status, sexual orientation, gender identity, family responsibilities, matriculation, physical or mental disabilities, political affiliation, genetic information, status as a protected veteran or any other characteristic protected by federal, state, or local law.

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