2025-10-11 JD
2025-10-11 JD
Infrastructure Resilience Analyst
Associated Engineering Group of Companies —Vancouver, BC3.8
Ongoing support for your growth and development, including a formal professional development program, mentoring programs, training opportunities, and…
$72,800–$114,400 a year
Responsibilities will include the following:
Support clients in asset management projects, including strategies, plans, frameworks, models, tools, and investment prioritization.
Assess and provide actions to manage risk, performance, compliance, and strategic alignment.
Develop clear, evidence-based reports, presentations, and visualizations (e.g., PowerBI, dashboards) to communicate insights and recommendations.
Participate in stakeholder engagement, including workshops, structured interviews, and collaborative client sessions. Plan and engage in change management activities.
Support business development, including proposals and client presentations.
Job Requirements:
Diploma or undergraduate degree in engineering(engineering preferred).
A foundation in infrastructure or asset-related work (municipal systems, capital planning, operations and maintenance, or technical analysis).
Ability to analyze and interpret data, with interest or experience in data visualization tools (e.g., PowerBI, GIS, Excel).
Strong written and verbal communication skills.
5–10 years of relevant experience in asset management or related advisory/technical services.
Manager, Credit Risk Measurement
Royal Bank of Canada —Toronto, ON3.9
As part of the Group Risk Management team, the Manager, Credit Risk Measurement will develop and maintain credit risk related models, implement stress testing…
Posted Date: 2025-10-10
What will you do?
Develops and maintains tools used for the implementation and execution of credit risk models. These models are used in the measurement of Expected Credit Loss (ECL), Provision for Credit Losses, and RWA for internal and regulatory stress testing.
Execute the production of stress testing projections for internal and regulatory filings.
Identify ECL production challenges and conducts independent problem solving to resolve proficiently.
Support ad-hoc stress testing and analytical request.
What do you need to succeed?
Experience with SAS & Python programming
Experience with data analytics
Knowledge of credit products in the financial industry
Post-graduate degree with quantitative background, such as mathematics, statistics, economics, etc.
Familiarity with statistical modelling of credit products
Experience with IFRS 9 or stress testing programs in the financial industry
Master/Ph.D. degree
FRM/CFA designation
Sr. Investment Analyst – Tangerine
Tangerine —Toronto, ON3.5
Assist in developing volume growth and retention tactics, considering operational impact and resource requirements; track results of initiatives, and pro-…
Is this role right for you? In this role, you will:
Assist in interpreting customer trends, relevant to the Investment business
Assist in deep-dive analysis, scenario modelling, and business casing to support strategic decisions.
Assist in developing volume growth and retention tactics, considering operational impact and resource requirements; track results of initiatives, and pro-actively re-calibrate current practices to maximize impact.
Assist in the development, maintenance, and enhancement of dashboards and presentations for Senior Leadership, providing clear data driven insights into performance, trend, and strategic initiates.
Champions a high performance environment and contributes to an inclusive work environment.
We’d love to work with you if you have:
Bachelor’s degree in Finance, Economics,
Minimum 3 years of experience in analytical, product management, investment research, asset management, fintech, or related financial services required.
Work experience in data science, or in a project management oriented environment is considered an asset.
Computer literate – knowledge of Microsoft Office
Advanced analytical skills required, including proficiency in MS Excel (excel regression functions and VBA), Python, R , SAS, SQL, Looker Studio/Power BI, or other quantitative programming languages for data analysis, visualization, and modelling; experience with GCP/BigQuery is a plus.
Foundational proficiency in MS Powerpoint is an asset.
Manager, Model Quality – Retail and Small Business (1-year contract)
Scotiabank —Toronto, ON3.9
Is this role right for you? In this role, you will:
You have demonstrated aptitude to design scenario-specific Test Approaches, Test Strategies & Plans,
You understand data engineering and modeling concepts to strategize and execute End to End testing cycles (Including data extraction, transformations and conversion)
You enable performance measurement by using standard metrics and drive continuous improvements
Prepare quality documentation and reports by collecting, analyzing, and summarizing information and trends including failed processes, stability studies, corrective actions, and re-validations
We’d love to work with you if you have:
Bachelor’s degree in engineering, Computer Science, Business Administration or an equivalent field
Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
Experience in, and strong understanding of testing standards and methodology, in QAT / UAT / BAT environments
Understands and utilizes both quality assurance and quality control best practices and how to apply them to models, data and technology from both a static and dynamic perspective
Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
Knowledge about credit risk models / scorecards
Microsoft Office (Word, Excel, etc.) power user with demonstrated experience writing professional acceptance reports, memos, and presentations
Familiar with both traditional SDLC and agile development processes & tools (Jira, Confluence)
Experience with continuous Integration tools – Jenkins, Bit bucket, GitHub
Data Analytical Specialist scientist 9753-1712 Foilcon 109753
Foilcon —Toronto, ON
Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide…
Key Responsibilities
Run and Monitor Inferences
Execute batch inference jobs on Databricks and other environments.
Troubleshoot inference issues, log results, and escalate model anomalies.
Assist with running DSPy pipelines and loading custom models/configs.
Track and summarize performance metrics for inference experiments.
Data Handling & Experimentation
Help prepare and clean legal text datasets for inference and evaluation.
Annotate outputs to support error analysis and benchmarking.
Experience and Skill Set Requirements
The Government of Ontario is embarking on a large Data & AI transformation initiative.
Core to the transformation is the enablement of the Ontario Data Platform (ODP), which is being developed as the enterprise technology ecosystem for everything Data & AI.
ODP is a modern ecosystem of data solution consisting of data ingestion technologies, storage, processing and visualization as well as solutions related to data governance, quality, marketplace, etc.
ODP will initially serve all internal government clusters, ministries and program areas, but also external agencies in the future.
We are looking for a data scientist to support various initiatives related to the platform as well as the execution of use cases to support the needs of various businesses within the government.
Background in Computer Science, Data Science, or AI/ML (student or recent grad is good).
Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
Exposure to LLM frameworks (DSPy, LangChain, Hugging Face, or equivalent).
Comfortable working with Databricks / MLflow or other cloud ML environments.
Proficiency in mathematics and statistics Awareness of emerging Business Intelligence trends and directions Functional area experience as required Experience with analytical software such as R, PowerPivot, Matlab, SPSS, or SAS an asset Proficiency with desktop analysis software including Microsoft Excel, Access, VBA
Business Intellingence & Data Analytics
Government of Alberta —Edmonton, AB3.8
A university degree, in business analytics, mathematics, statistical sciences, data science, computer science, engineering, or a related field, involving…
$79,774–$104,572 a year
Closing Date: October 27, 2025
Role Responsibilities
The Tax and Revenue Administration (TRA) division is looking for an Analyst, Business Intelligence and Data Analytics to join our audit team.
This position develops strategic and tactical plans for reporting and oversees development and maintenance of dashboards. The Analyst also ensures the efficiency, effectiveness and integrity of data and assists auditors, as required, in receiving, and preparing data from tax and royalty payers for further analysis.
The position provides support and guidance for a variety of audit branch activities in the areas of data analytics, and compliance improvement.
Your Work Environment: As a member of our team, you will enjoy working in a collaborative team environment where you will be supported, valued, and enjoy having a great work-life balance.
Required:
A university degree, in business analytics, mathematics, statistical sciences, data science, computer science, engineering, or a related field, involving quantitative research methodologies, data management, to provide direction to management and professional staff conducting advanced statistical analysis design and reporting.
Experience utilizing leadership, organization, and planning skills supplemented by experience in client relations is required. Project management training is an asset. A minimum of four (4) years of experience is required in:
At least 2 years of experience in data analytics.
At least 2 years of experience with predictive analytics, statistical techniques and developing data models.
Building business intelligence and mapping solutions (e.g., dynamic reports in Power BI, Tableau, or similar).
Creating executive-level presentations for the purpose of decision making.
Leading professional staff on cross-functional teams to achieve deliverables on branch-wide initiatives.
Leadership role(s) with proven success in managing complex issues and applying an integrated approach to project delivery.
Presenting strategies and plans, and providing advice, options papers, and status reports to management team on branch-wide initiatives.
Health Data Analyst
Grey Bruce Public Health —Owen Sound, ON3.3
A valid Ontario driver’s license and access to a reliable vehicle is required. Working knowledge of research methodology, statistics, survey design, tool…
$45.78–$53.62 an hour
KEY AREAS OF RESPONSIBILITY
Develop reports that address public health issues, and be aware of the potential impact of the information being communicated
Maintain up-to-date databases, design and create new databases as required, for epidemiological investigations, reports and projects, in compliance with Health Unit standards
Analyse and present information to inform program and service planning with population health and program-related databases such as Vital Statistics, Census, Healthy Babies Healthy Children, Panorama, Health Service Usage and iPHIS
Develop community health profiles and health status reports to inform planning, delivery, management, and evaluation of public health programs and services.
Integrates information from diverse sources, which may involve large amounts of complex information
Use of data visualization techniques that enhance understanding of information while preserving the integrity, validity and reliability of the information.
Analyse data and present information to meet the requirements of the Ontario Public Health Standards, including the Foundational Standard
Provide public health data analysis services in compliance with the Ontario Public Health Standards to assist program managers
SPECIFIC KNOWLEDGE, SKILLS & ABILITIES
Understanding of the health of populations and the factors that underlie health and health risks.
Working knowledge of research methodology, statistics, survey design, tool development
Advanced skills and demonstrated experience using business computer applications including spreadsheets, graphical presentation software, statistical packages (including SPSS, SAS, R, or Stata),Microsoft Excel, Word and PowerPoint, online survey software and specialized programs (including Intellihealth)
Three-year (3) or four-year (4) Baccalaureate Degree in Health Sciences, Social Sciences
Minimum one (1) year demonstrated experience in coordinating the collection and retrieval of health-related data including statistical compilation, interpretation, analysis and communication of health-related information to appropriate sources
Working knowledge of qualitative analysis and GIS mapping
Simplii Financial, Junior Marketing Analyst Co-op, Winter 2026
CIBC —Toronto, ON3.7
Execution – Own the end-to-end delivery of digital campaigns; from the development of campaign Discoveries (communications plan, client journey mapping, and…
How you’ll succeed
Project Management – Responsible for supporting and managing the delivery of Simplii Digital Campaigns from planning through execution –this requires good project management skills to ensure campaigns are proceeding according to plan, getting campaigns back on track
Execution – Own the end-to-end delivery of digital campaigns; from the development of campaign Discoveries (communications plan, client journey mapping, and delivery plans), project managing the execution of the campaign, and measuring campaign performance to provide learning and insights.
Reporting, Research and Analysis –Conduct regular competitor scans and in-depth campaign performance analysis to make informed decisions and recommendations towards campaign iteration.
Who you are
You love to learn. You’ve passionate about growing your knowledge, and you know that there is no limit to what you can achieve.
You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it’s the right thing to do.
You’re digitally savvy. You have a high competency level with use of desktop tools such as Tableau and Microsoft Office (specially Excel and PowerPoint). Knowledge of SAS helpful.
You give meaning to data. You enjoy investigating complex problems, and making sense of information. You’re confident in your ability to communicate detailed information in an impactful way.
ACPS Business Strategist
Government of Alberta —Calgary, AB3.8
Extensive knowledge of social research design and methodology, including qualitative and quantitative data collection and analysis techniques.
$79,774.65–$104,572.78 a year
Closing Date: October 17, 2025
Your key responsibilities are:
Performing research and analysis to identify, review, and make informed policy recommendations for ministry and cross ministry initiatives.
Developing analytical scenario models for analyzing changing policies, guidelines, and legislation.
Identifying impact on both systems partners and the criminal justice system as a whole.
Developing and completing research projects, position papers and reports to internal and external stakeholders and systems partners to ensure a collaborative, balanced, adaptable, approach to the criminal justice system.
Ensuring an effective and efficient prosecution service through the creation, monitoring, and reporting of meaningful performance indicators.
Representing the ACPS on research-related committees
Acting in consultative capacity coordinating with ministry partners and external stakeholders.
The Ideal candidate will possess the following.
Extensive knowledge of social research design and methodology, including qualitative and quantitative data collection and analysis techniques
In- depth knowledge of research and evaluation methodology, including evaluability assessment.
Experience in R for statistical modeling, data visualization, and report generation.
Proficiency with SQL for querying large databases; comfort with Python for basic machine learning tasks.
Expertise with Power BI to develop dashboards and deep data analysis and insight generation.
Fraud & Risk Analyst
Lyft —Toronto, ON3.6
Bachelor’s degree in a quantitative field or relevant work experience. Deliver enhancements to ATO detection and mitigation, communicate and prioritize…
$96,000–$120,000 a year
Responsibilities:
Develop, implement, and improve comprehensive fraud detection strategies, real-time fraud rules and models directly and in collaboration with relevant teams.
Support cross functional teams to build-out critical dashboards
Collaborate with Product Management, Data Science, Engineering and Operations to resolve identity or integrity issues and other escalations
Report overall status, primary business metrics, key issues and solution recommendations and plans to senior management and executives
Establish business cases and projected ROI on investments to prioritize opportunities related to Identity programs
Experience:
5+ years of experience across payment, marketplaces, e-commerce, retail, digital media or financial services industries. Fraud or Identity experience is preferable, especially in the merchant risk domain.
Bachelor’s degree in a quantitative field or relevant work experience
Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis
Have a bias towards action in resolving issues and perform in a high-energy, fast-paced environment
