2026-10-03 Data analysis Jobs
Senior Consultant – Credit Risk Modelling – Montreal
EY
Montréal QC
Your key responsibilities
As a Senior Consultant in the FSRM team, you will be leading or supporting EY services in the market through business development, engagement planning and high-quality engagement execution. Leveraging your strong technical expertise, you will offer professional advice to clients across a broad spectrum of situations. You will be working on engagements relating to:
Development and validation of credit risk models (e.g. AIRB, IFRS 9, stress testing) based on industry best practices and regulatory requirements
Design, optimization and implementation of capital management frameworks and lending strategies (ICAAP, risk appetite limits, lending processes)
Participate in risk transformation programs related to regulatory changes or merger-acquisitions (climate risk frameworks, OSFI applications, resolution of regulatory findings)
Practical experience in modeling techniques applicable to credit risk models such as PD, LGD, EAD or ECL models
Strong quantitative skills in data analytics and modelling incl. artificial intelligence and machine learning techniques
To qualify for the role, you must have
Minimum 2 years of relevant experience within a credit risk model development or model validation
Strong academic background with a Master’s degree
Significant experience and proven ability to program in pertinent languages, such as Excel, SAS, SQL, R, and Python.
Knowledge of credit risk regulatory requirements (Basel II, Basel III and post-crisis regulatory reforms) and accounting standards (IFRS 9)
Knowledge or experience of credit risk models and methodologies: measurement methodologies (PD, LGD and EAD), retail credit risk scorecards and wholesale rating models
Programmeuse statistique (Contrat)/ Statistical Programmer (Contract)
IQVIA Canada
Mississauga ON
Responsibilities:
Analyze project requirements and feasibility
Follow project requirements in an efficient, accurate, and timely manner using SAS and/or SQL
Follow standard practices
Complete thorough documentation of code
Format results to meet client specifications including extensive QA
Maintain existing code
Support the monthly production of deliverables
Qualifications:
Minimum one year SAS programming experience in SAS/Base, SAS/Macro, and SQL programming on a Windows platform
Bachelor’s Degree in Computer Science, Mathematics, Economics or equivalent
Excellent written, oral, and interpersonal communication skills (English is essential)
Ability to effectively handle multiple tasks and projects
Knowledge and experience with large databases
Working knowledge of MS applications i.e. Excel, Access, Outlook etc.
Ad-hoc reporting experience with longitudinal data
SAS BASE and SAS MACRO certification
Experience in healthcare or pharmaceutical analysis
(3) https://careers.iconplc.com/job/senior-edc-programmer-in-canada-burlington-jid-53656
Senior EDC Programmer
ICON Public Limited Company
Burlington ON
Remote
We are currently seeking a Senior EDC Programmer to join ICON’s Full-Service IOD Clinical Data Science team. As a Senior EDC Programmer, you will use technical, industrial, and interpersonal skills to interpret clinical protocols and customer requirements in order to create clinical data management system (CDMS) designs and non-CDMS component specifications (including electronic Case Report Forms (eCRFs), dynamic eCRF functionality and eCRF edit checks) to meet the needs of the customer and the clinical trial.
What you will be doing:
Develop, validate, and maintain programming solutions for CDMS (EDC systems such as Rave/Veeva), data validation outputs, data review/risk management outputs, custom reports, and programs in clinical trials
Act as a primary point of contact during the study set up and maintenance phase for system programming related questions by the project team
Perform extracts of data from CDMS and creation of data transfer programs
Assist in the development and implementation of improvements to technical systems and processes within an SME role
Stay updated on advancements in programming languages and data management tools to enhance operational efficiencies
Your profile:
5+ years of experience with EDC programming (Medidata Rave and/or Veeva) for data validation outputs, data review/risk management outputs, custom reports, and programs in clinical trials
Proficiency in one or more programming languages (R, Python, SAS and/or SQL)
Excellent attention to detail and organizational skills, with a commitment to delivering high-quality results
Bachelor’s Degree in a relevant field
(4) https://jobs.rogers.com/job/Toronto-Senior-Financial-Analyst-ON/1423939200/
Senior Financial Analyst
Rogers
Toronto ON
What you’ll be doing:
Support the Senior Finance Manager by taking a leadership role in the management and resolution of initiatives and identified issues, including gathering the required detailed information on variances (results/forecasts), performing in-depth analysis and recommending the appropriate approach / actions to resolve the issues.
Prepare monthly reporting KPIs and packages, including commentary of financial results, identifying any unusual trends and resolving with internal teams.
Develop, implement, and standardized new reports (income statement, KPIs) that drive results to provide more insights into financial performance.
Lead preparation of monthly and quarterly forecasts and annual budgets.
Proactive identification of value-added reporting and analysis as well as areas of focus for risks and opportunities.
Ad hoc support and analysis when needed.
What you Bring:
University Degree and accounting/finance designation (MBA/CPA/CMA/CGA/CA/CFA) is required.
Strong financial background with 3-5 years of progressive experience within finance.
Advanced analytical skills and the ability to get into the details, while also seeing and understanding the big picture.
Advanced Excel, Word, PowerPoint and modeling skills required.
SQL, Access and SAS skills for efficient data manipulation is an asset.
Good interpersonal skills and the ability to build relationships at all levels of the organization.
Strong knowledge of Oracle Financials and Essbase an asset.
(5) https://jobs.scotiabank.com/job/Toronto-Manager%2C-Portfolio-Management-ON-M5H1B6/605621417/
Manager, Portfolio Management Job Details | Scotiabank
Scotiabank
Toronto ON
Is this role right for you? In this role, you will:
Leverage a range of Business Intelligence tools (ex. SQL, SAS, Python, PowerBI) to provide dynamic reporting on key performance metrics for stakeholders across GRM and business lines.
Conduct in-depth research and analysis to uncover portfolio, macroeconomic, and market trends across diverse retail lending portfolios.
Partner with strategy and policy teams to deliver measurement and reporting on key strategic initiatives, including acquisition quality, the impact of origination strategy changes on portfolio growth.
Drive the evolution from descriptive to prescriptive analytics by focusing on key drivers of portfolio risk
Provide timely support for investigations and resolution of issues raised by OSFI, ensuring responses meet regulatory expectations and deadlines.
Liaise with the Fraud Department and Security and Investigations as required.
Ensure all business line strategic priorities (i.e. life-cycle KPIs, early warning triggers, provisioning, etc.) are consistent with Risk Appetite Framework.
We’d love to work with you if you have:
University degree
1+ years of analytical experience required including statistical analysis
Must be proficient in using SAS, SQL, Python, Power BI and/or Tableau for data analysis.
Strong knowledge of Microsoft word, Excel, Pivots, PPT, etc.
Excellent verbal and written communication skills, prioritizing, planning & problem-solving skills.
Experience working in Banking Industry or Monoline is preferred
Knowledge of Real Estate Secured Lending Product (Mortgage and Home Equity Line of Credit (HELOC) is considered a strong asset.
Experience working with Enterprise Data Lake (EDL), Google Cloud Platform (GCP) and Hadoop-based environments is considered an asset.
(6) https://careers.ieso.ca/job/Lead-Data-Scientist/1393184000/
Lead Data Scientist
IESO
Oakville ON
Date: October 1, 2026
The successful candidate will turn data into information, information into insight
Support the development of the Smart Meter Data products and use cases.
Lead and manage internal and external working groups and provide the Smart Metering perspective by participating in various stakeholder engagements that impact the collection and use of all data stored in the MDM/R.
Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
Role Requirements
Our team consists of experts from diverse backgrounds, each bringing their unique perspectives and skills.
BS and. Preference will be given to those with a Master Degree.
You have a deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
Proven working experience as a Data Scientist, Data Analyst, Business Data Analyst, and/or other equivalent experience.
Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL Server, Oracle etc), programming (XML, Javascript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
An advanced degree in engineering, computer science or related disciplines
Extensive knowledge of cloud computing (preferable Microsoft Azure), Databricks and AI/ML model
Modelling / Forecasting Senior Analyst (Quants)
TD Bank
Toronto ON
$81,600 – $115,200
End Date: October 8, 2026
Detailed accountabilities include:
Conduct independent validation of a variety of Treasury models including, Liquidity Risk Management (LRM) models, IRRBB aggregation models, and Customer Behavior forecast Models for ALM (FTP pricing, IRRBB) and Stress Testing (i.e., DFAST / EWST / MST).
Develop and execute a comprehensive validation testing plan to validate different models,
Review 1st line assessment of the measurement choices / definition and liquidity assumptions or business assumptions / decisions adopted by model and Business Requirement Document (BRD) for model implementation to assess the consistency between BRD and approved approach.
Assess soundness of statistical / mathematic algorithm and choices of modelling approaches through literature review and evaluate the reasonability of the assumptions to be consistent the nature of the business to ensure the model methodology aligning with industry best practice.
Assess the data quality and input control / governance process to ensure the acceptance of the model inputs.
Conduct validation testing by incorporating comprehensive test cases to assess model implementation accuracy from data enrichment process to the final model outputs and model performance
Develop a comprehensive issue log for questions / limitations identified during the validation process and effectively communicate with various stakeholders from 1st line with issue severity for appropriate resolution during the validation process.
Draft high quality model validation reports with adequate information and justification to support validation conclusions and Audit / regulator review / assessment of validation process and validation analysis.
Maintain / develop professional knowledge of techniques and developments in the quantitative analysis in LRM and liquidity risk management and share knowledge with business partners and senior management.
Support developing standards and procedures for vetting and validation that are compliant with Bank’s internal model risk policy, adhere to industry best practices, and meet regulatory requirements.
Become a domain expert to provide structural feedback to the business / 1st line to different stakeholders to achieve in time validation work.
Job Requirements:
Advanced quantitative skills with post-secondary degree
CFA / FRM charter holder or candidate preferred. Qualification data risk management or operational risk management field is an asset.
Experience developing AI agent workflows to increase productivity.
1 ~ 2 work experience in model development or model validation in financial intuition.
Work experience in business system analytics roles or in either developing or validating large banking treasury reporting system is an asset.
Work experience in risk management is an asset.
Strong technical knowledge and proficiency in programing languages, such as Python, SQL, SAS, and VBA. Familiarity with JSON and Scala is an asset.
Hands-on experience in developing and implementing statistical forecasting models (e.g., time-series model).
Familiarity with data pipeline process, banking data infrastructure, and data control & governance is an asset.
Statistical Analyst
Western
London ON
Responsibilities
The Department of Medicine (DOM) seeks a detail-oriented and statistically adept Statistical Analyst to assist the Department of Medicine researchers in designing experimental surveys and clinical studies, determining sample size calculations, and performing quantitative data analysis to help identify actionable and statistically robust conclusions. The successful candidate should be highly familiar with and able to: provide direction and support to DOM researchers in survey design, developing analysis plans, managing, cleaning and transforming numerical and other data, generating descriptive statistics and performing a variety of statistical analyses. The incumbent will also assist researchers with interpreting their results and translating findings into appropriate formats for written and oral presentations as well as publications.
Qualifications
3 years’ work experience in a related academic reserach environment
– PhD in statistics or biostatistics or an equivalent combination of education and experience
– Experience in most of the tools; SAS, SPSS, Stat, SQL, R, MS Office Suite
– Ability to manage numerical data
– Ability to perform statistical analysis
Senior Analyst, Business Analysis And Insights – GIS
Walmart Canada
Mississauga ON
What you’ll do…
Solve complex, high-impact business problems through geospatial analysis, spatial modeling, data, and technology, translating analytical approaches into scalable solutions that support better decisions.
Build and automate scalable geospatial workflows using CARTO, BigQuery, GCP, Python, SQL, APIs, and related cloud and spatial technologies, with a focus on reusable and maintainable solutions.
Design and build scalable geospatial products, analytical solutions, and decision-support tools from concept and methodology through development, enabling business teams to explore scenarios, test assumptions, and make informed decisions.
Develop geospatial models and methodologies for strategic problems such as site selection, trade areas, market opportunity, network planning, cannibalization, customer accessibility, and location optimization.
Work with demographic, customer, market, competitive, and location data to understand customers, market potential, geographic differences, competitive dynamics, and network impacts.
Proactively identify and apply new geospatial, cloud, automation, and emerging technologies, while collaborating with data science, engineering, and cross-functional teams to strengthen analytical capabilities.
Qualifications
Bachelor’s or master’s degree in Geography, GIS,
4+ years of relevant professional experience in geospatial analytics, data science, advanced analytics, location intelligence, software/analytical product development, consulting, or related field.
Demonstrated experience applying geospatial analysis, spatial modeling, and large-scale spatial datasets to solve complex business problems.
Strong hands-on experience with Python, SQL, Big Query, CARTO, other relevant GIS technologies, and modern cloud data platforms eg: GCP.
Demonstrated experience building models, automated workflows, analytical tools, or geospatial data products.
Strong understanding of core geospatial concepts, including co-ordinate systems and projections, spatial relationships, network analysis, geocoding, and vector/raster data
Experience in retail, real estate, strategy, network planning, eCommerce, consulting, or location intelligence is highly valued.
Experience using Generative AI or LLM-based tools to accelerate development, automate workflows, support analysis, prototype solutions, or enhance existing data products is an asset.
(10) https://careers.hellofresh.com/global/en/job/7653265
Senior Product Analyst, Consumer Analytics (f/m/x)
HelloFresh Canada Inc.
Toronto ON
$88,200 – $98,200
What this role will be responsible for
Design, implement and analyze A/B tests and experiments to measure product feature impact and optimize user experiences.
Develop automated reporting and dashboards that democratize data access and enable self-service analytics across the organization.
Build sophisticated analytics solutions to define KPI trees, design measurement frameworks, and track product performance across app and web platforms, to identify opportunities for product improvement and growth.
Leverage AI and automation tools to dramatically increase efficiency in data analysis, reporting, and insight generation workflows.
Communicate complex data and statistical concepts persuasively to technical and non-technical
Here’s what we’re looking for
A BS or equivalent in business, computer science, mathematics, economics, statistics
Expert-level proficiency with Google Analytics 4 (GA4) / Snowplow, including advanced configuration, custom event tracking, and experience with Mixpanel/Amplitude.
Advanced BigQuery experience required, including complex SQL queries, query optimization, data modeling, and working with large-scale datasets.
Advanced Python programming skills for data analysis, automation, and building analytical tools (pandas, numpy, etc.).
Strong Excel skills including advanced formulas, pivot tables, and data visualization.
Demonstrated track record of leveraging AI tools (ChatGPT, Claude, Copilot, etc.) to increase personal and team productivity in day-to-day analytical work.
Experience with data visualization tools such as Tableau, Looker, or Data Studio required.
Deep understanding of product analytics methodology like Understanding of Cookie/Event tracking, user behavior analysis, and Event experimentation design etc.
Proficiency with descriptive and inferential statistics required.
Experience with dbt, Airflow, or other modern data stack tools preferred.
A minimum of 5 years’ experience analyzing complex data in a business context, with at least 3 years focused on product or web/app analytics.
