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Quantitative Data Engineer Jobs in Calgary, AB (NOW HIRING)

Machine Learning Engineer Calgary, AB, Canada Full-time Company Description Viridien is a global ... Data Analytics * Quantitative Analysis * Web Scraping * Model Development Responsibilities:

Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI ... A degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative ...

Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI ... A degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative ...

Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI ... A degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative ...

Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative discipline - or a PhD in a relevant field. * 3+ years of experience designing and implementing ...

The successful candidate will combine strong quantitative and systems skills with sound ... Post-secondary degree in Finance, Economics, Mathematics, Engineering, or a related field. Advanced ...

Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ... quantitative models in production. Preferred Qualification * Advanced technical degree (Master and ...

Strategic & Data-Driven Thinking: You are a visionary who uses both qualitative and quantitative ... Partners effectively with Product, Design, and Engineering teams, ensuring requirements are clear ...

Advanced analytical, quantitative, and problem-solving capabilities. * Demonstrated experience ... Advanced proficiency with Microsoft Excel, Power BI, and data analytics tools. * Strong written and ...

New

Contribute to the preparation of qualitative and quantitative risk analyses (QCRA & QSRA ... Engage with client and internal teams to gather data and insights for risk assessments. * Work ...

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Quantitative Data Engineer information

What are the key skills and qualifications needed to thrive as a quantitative data engineer, and why are they important?

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.
What are popular job titles related to Quantitative Data Engineer jobs in Calgary, AB? For Quantitative Data Engineer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Calgary, AB look for? The top searched job categories for Quantitative Data Engineer jobs in Calgary, AB are:
Infographic showing various Quantitative Data Engineer job openings in Calgary, AB as of June 2026, with employment types broken down into 5% As Needed, 90% Full Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Full-time

Posted 10 days ago


Job description

CLOSING DATE:

August 14, 2026OpportunityAs part of the Risk Management group, the Quantitative Analytics & Reporting (QAR) team delivers critical risk analytics, reporting, and insights that support investment decision-making across AIMCo's portfolios. The team provides enterprise-wide quantitative risk measurements across all asset classes and client portfolios, helping AIMCo understand, measure, and manage investment risk.
As the Manager, Quantitative Analytics & Reporting, you will play a key role in validating and interpreting investment risk analytics, maintaining robust reporting solutions, and delivering meaningful insights that help explain portfolio and market movements. Combining quantitative expertise, technical capability, and investment knowledge, you will help ensure the integrity of AIMCo's risk information while continuously enhancing analytical and reporting capabilities.
This role offers a unique opportunity to gain exposure to every asset class across AIMCo's investment platform while working with sophisticated risk methodologies, modern data platforms, and leading technology solutions. You will collaborate with risk professionals, investment teams, and technology partners to support and evolve AIMCo's risk analytics framework.
Posting will close August 13th, 2026 at 11:59pm MT

What You Will Do

  • Analyze, validate, and interpret investment risk analytics across portfolios, asset classes, and clients, ensuring the accuracy and reliability of reported results.

  • Investigate changes in risk metrics, portfolio exposures, and performance drivers, providing clear explanations and actionable insights.

  • Monitor risk limits and exposures, assess anomalies and potential breaches, and support resolution and escalation processes where appropriate.

  • Develop, maintain, and enhance risk reports, dashboards, databases, and analytical tools that support investment and risk management decision-making.

  • Partner with stakeholders to improve risk reporting, data quality, visualization capabilities, and governance frameworks.

  • Support and enhance risk systems, reporting infrastructure, and automation initiatives using modern technologies and programming tools.

  • Collaborate with internal teams and external vendors to identify and resolve system, data, modeling, and reporting issues.

  • Contribute to the ongoing evolution of AIMCo's risk analytics capabilities by identifying opportunities to improve processes, controls, and reporting solutions.

What We Are Looking For

You are a technically strong quantitative professional with a passion for investment analytics, risk management, and continuous learning. You enjoy solving complex problems, working across diverse asset classes, and translating data into meaningful business insights.

You are collaborative, intellectually curious, adaptable, and comfortable balancing analytical, reporting, and technology-focused responsibilities. You bring a strong understanding of financial markets and can confidently communicate complex concepts to a wide range of stakeholders.

Required Qualifications

  • Bachelor's degree in Finance, Financial Mathematics, Statistics, Actuarial Science, Economics, Mathematics, Computer Science, or another relevant quantitative discipline.

  • 5+ years of experience in investment risk, quantitative analytics, market risk, quantitative modeling, risk reporting, or a related discipline within asset management, pension funds, banking, or financial services.

  • Strong understanding of investment products, financial markets (including derivatives), and quantitative risk methodologies.

  • Advanced Python programming skills and experience applying technology to analytics, reporting, or process improvement initiatives.

  • Demonstrated ability to analyze complex data, validate results, and solve challenging quantitative problems.

  • Strong communication skills with the ability to explain analytical findings and quantitative concepts to diverse audiences.

Preferred Qualifications

  • Experience working with Databricks, Power BI, Aladdin, or similar analytics and reporting platforms.

  • Experience within a pension fund, institutional asset manager, or similar financial institutions

  • Professional designations such as CFA, FRM, or PRM.

What Success Looks Like

As the successful candidate, you will become a trusted partner in the delivery and interpretation of AIMCo's investment risk analytics. Success in this role will be demonstrated through:

  • Reliable, accurate, and insightful risk reporting and analytics.

  • The ability to clearly explain changes in portfolio exposures, risk metrics, and investment outcomes.

  • Continuous enhancements to reporting processes, automation, data quality, and analytical capabilities.

  • Strong partnerships with Risk Management, Investment Strategy, and investment teams across the organization.

  • Contributions to the ongoing evolution of AIMCo's risk analytics, reporting infrastructure, and investment risk capabilities.

This role offers exceptional exposure to AIMCo's entire investment platform, providing opportunities to develop broad asset-class knowledge while building deep expertise in investment risk, quantitative analytics, and reporting.

About AIMCo

AIMCo is one of Canada's largest and most diversified institutional investment managers, managing more than $200 billion on behalf of Alberta-based pension plans, endowment funds, and government clients. We are guided by our core values of excellence, transparency, humility, integrity, and collaboration, and are committed to delivering long-term value for the Albertans who rely on us.

Next Steps

We are excited to meet you. Please submit your resume or CV to be considered for this opportunity. Applications are being reviewed on a rolling basis and we will be in touch with any questions.

Final candidates will be asked to undergo a security screening, which includes a credit bureau and a criminal record investigation, the results of which must be acceptable to AIMCo.

ALERT - Be on the lookout for AIMCo career opportunities advertised through third parties that request an application fee or too much information. To verify, all opportunities are posted on aimco.ca/jobs

At AIMCo, we draw upon the differences in who we are, where we come from and the way we think to deliver results for the Albertans who rely on us. We offer an inclusive, modern workplace where well-being is prioritized, and colleagues are enabled to do their best work. Our team members are motivated by our purpose and committed to creating long-term value for our clients and their beneficiaries.