- Salary
- $75 – $80
- Location
- Toronto
- Workplace
- Hybrid, Onsite
- Type
- Contract
- Experience
- 8+ years
- Education
- Master
- Source
- PCRecruiter
Description
Business Analyst - Banking and/or Credit Card #109666
Request: 109666-1
Start/End Dates: 12/1/2027 - 12/1/2028
Work Location: downtown Toronto, near TTC and GO
Job Title: IT - Business Analyst - Expert
Job Title: Business Data Analyst
Line of Business: Everyday Banking, Deposits/Chequing, and Cards
Target rate range: $75-80hr B2B
Target Start Date: First week of December
Duration: 12 months
Potential for this contract to be extended or converted to FTE? Extension YES - FTE: Possible
Hybrid work - in office on Thursdays + 1st Friday / months - NOTE: potential for the requirement to increase to two in- office days per week, including a designated squad day
Office Location: 81 Bay St Toronto
Work Schedule (hours per week, start time): 37.5 Hours/week, 9-5 Monday to Friday
Potential for OT? possible
What does the LOB do?: The team supports both the Business Credit Card portfolio and broader portfolio analytics initiatives. They focus on product analytics across the full credit card lifecycle, including credit strategy, portfolio management, performance analysis, and optimization of card products and customer journeys.
Reason the role is open? Backfill
What project will this contractor be working on? The contractor will support product and portfolio analytics initiatives across the credit card business. They will work closely with squads focused on credit portfolio management, product performance, customer insights, and strategic analytics to help drive business decisions and portfolio outcomes.
Team Size? 8 direct reports plus the Director.
Who Will the Candidate Be Working with on a Daily Basis? The successful candidate will work closely with business stakeholders, product partners, portfolio analytics teams, and cross-functional squads focused on credit card products, portfolio performance, and strategic initiatives.
How many years of experience? 8+ years of experience
Job Description:
We’re on a mission to build the relationship-focused bank of the future, and we’re looking for passionate collaborators, innovators, advisors, and leaders who can help us get there. Our distinct culture is built on a shared commitment to doing what’s right for our clients, our people, and our communities, and we strive for excellence in everything we do. Life at CIBC is not only what you do, but how you do it.
What You’ll Be Doing
The Senior Manager, Credit Cards Analytics &; Insights will be a leading contributor on the AI, Data and Analytics (AIDA) team supporting the Credit Cards business within Personal and Business Banking. The AI, Data and Analytics team focuses on creating next-generation analytics assets to enable data-driven decision-making for partners in Product, Marketing, Client Segments and Strategy. In this role, you will lead analytics engagements to evaluate client behaviours and optimize business decisions related to product, campaigns, pricing, and other business areas. You will drive innovation through advanced AI and machine learning solutions, translating cutting-edge technology into
tangible business value and measurable outcomes. You will present insights and make data-driven recommendations to senior leaders to help identify opportunities to grow the business and better serve our clients. At CIBC, we enable the work environment that is most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement, where you’ll spend 1–3 days per week on- site while other days will be remote.
How You’ll Succeed
• Innovation & Value Realization – Champion a culture of innovation by identifying and implementing transformative AI and machine learning solutions that deliver measurable business value. Proactively seek opportunities to leverage emerging technologies to create competitive advantages, optimize client experiences, and drive revenue growth. Translate complex analytical initiatives into quantifiable business outcomes, demonstrating clear ROI and value realization across all engagements.
• Consultant – Be a leader and subject matter expert in Credit Cards. Integrate deep domain knowledge with analytical capabilities to deliver value to stakeholders, enable data-driven decision-making, and proactively identify opportunities to drive business growth through projects and business cases, acquisition and retention campaigns, pricing, channels, segments, products, and process enhancements.
• Analytics – Independently identify and leverage the right statistical techniques, including descriptive, predictive, and prescriptive analytics, to extract actionable insights from client behaviours and business trends, both internal and external. Apply advanced machine learning algorithms and AI-driven methodologies to uncover hidden patterns
and predict future trends with precision. Appropriately integrate big data, business intelligence, visualization, self-service, and analytical tools into engagements. Proactively explore new applications of advanced analytics, AI, and machine learning to innovate and build strategic analytics assets that create sustainable competitive
advantages.
• Technology – Leverage big data and analytical tools to analyze large structured and unstructured datasets, build data pipelines, and create visualizations from multiple data sources. Implement and deploy machine learning models and AI solutions using modern MLOps practices, ensuring scalability, reliability, and continuous improvement of analytical assets.
• Ownership – Orchestrate end-to-end delivery of solutions that meet stakeholder requirements and contribute to business success. Think and act like an owner in analytics initiatives, ensuring business needs are properly identified and translated into analytics requirements while maintaining a relentless focus on value creation and measurable business impact.
• Communication – Find the story in the data and communicate at varying levels of detail for the right audience. Articulate the business value and innovation potential of AI and machine learning initiatives to both technical and non-technical stakeholders, building enthusiasm and support for transformative change.
Who You Are
• You have a degree in a quantitative field such as mathematics, statistics, computer science, economics, engineering, physics, or business, or equivalent experience. An advanced degree is an asset, such as an MMA, MBAN, MSc, MA, or MBA.
• You have demonstrated expertise in artificial intelligence and machine learning, with hands-on experience developing, deploying, and maintaining ML models in production environments.
• You possess strong knowledge of machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, and Keras, and have applied various ML techniques, including supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning.
• You are a problem solver with exceptional critical thinking, problem-solving, and decision-making skills, and a demonstrated ability to independently identify and analyze business problems and recommend innovative solutions.
• You are proficient in programming languages and have experience using modern big data, analytical, and dashboard tools, such as Python, R, SAS, SQL, Hadoop, Spark, Alteryx, Tableau, Databricks, Power BI, MLflow, Azure ML, and AWS SageMaker.
• You have experience building end-to-end analytics solutions involving large datasets, including requirements gathering, data extraction, cleaning and transformation, statistical analysis, model development and deployment, presentation, and implementation.
• You have working knowledge of statistical techniques, such as regression, time-series analysis, clustering, and decision trees, and advanced machine learning algorithms, such as ensemble methods, neural networks, gradient boosting, and dimensionality reduction.
• You are passionate about innovation and have a proven track record of translating AI and ML capabilities into measurable business value, with experience in value realization frameworks and ROI measurement.
• You are an avid learner who recognizes that the analytics field is constantly evolving. You seek to explore emerging trends and best practices in AI, machine learning, and
innovative analytics methodologies, and you are excited to share that knowledge with others.
• You can be clearly understood. You have very strong communication and presentation skills, with a demonstrated ability to clearly and concisely present information to groups
and individuals at all levels of the organization.
• You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because its the right thing to do.
• Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
• Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
What You Need to Know
• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience.
• You need to be legally eligible to work in Canada at the location(s) specified above and, where applicable, must have a valid work or study permit.
• This is a contract role with a schedule of 37.5 hours each week.
Must have Requirements:
• Business Analyst experience - 8 years
• Product Knowledge - Banking - 3 years
• Experience in a consultative role focusing on data analysis - 3 years
• Previous experience in the Credit Card business (Banking or credit card industry)
• Experience manipulating and synthesizing large volumes of complex information from multiple sources.
• Strong knowledge of data modeling and statistical analysis techniques.
• Experience working with multiple stakeholders.
• Experience working on an Agile team.
• SQL experience / Python experience
Nice to have:
1. Digital analytics experience (Adobe)/
2. Marketing background
3. Direct Cibc experience
4. SAS experience (build and run macros)
Soft Skills:
• Good communication and storytelling skills.
• Excellent relationship building, verbal and written communications skills
• Time management
• Ability to present information in an organized and concise manner
NOTE
Close on Nov 10 at 3pm
G.G. Consulting Group uses advanced ATS systems to track and manage candidates and jobs. We do not use AI tools for candidate screening.
Request: 109666-1
Start/End Dates: 12/1/2027 - 12/1/2028
Work Location: downtown Toronto, near TTC and GO
Job Title: IT - Business Analyst - Expert
Job Title: Business Data Analyst
Line of Business: Everyday Banking, Deposits/Chequing, and Cards
Target rate range: $75-80hr B2B
Target Start Date: First week of December
Duration: 12 months
Potential for this contract to be extended or converted to FTE? Extension YES - FTE: Possible
Hybrid work - in office on Thursdays + 1st Friday / months - NOTE: potential for the requirement to increase to two in- office days per week, including a designated squad day
Office Location: 81 Bay St Toronto
Work Schedule (hours per week, start time): 37.5 Hours/week, 9-5 Monday to Friday
Potential for OT? possible
What does the LOB do?: The team supports both the Business Credit Card portfolio and broader portfolio analytics initiatives. They focus on product analytics across the full credit card lifecycle, including credit strategy, portfolio management, performance analysis, and optimization of card products and customer journeys.
Reason the role is open? Backfill
What project will this contractor be working on? The contractor will support product and portfolio analytics initiatives across the credit card business. They will work closely with squads focused on credit portfolio management, product performance, customer insights, and strategic analytics to help drive business decisions and portfolio outcomes.
Team Size? 8 direct reports plus the Director.
Who Will the Candidate Be Working with on a Daily Basis? The successful candidate will work closely with business stakeholders, product partners, portfolio analytics teams, and cross-functional squads focused on credit card products, portfolio performance, and strategic initiatives.
How many years of experience? 8+ years of experience
Job Description:
We’re on a mission to build the relationship-focused bank of the future, and we’re looking for passionate collaborators, innovators, advisors, and leaders who can help us get there. Our distinct culture is built on a shared commitment to doing what’s right for our clients, our people, and our communities, and we strive for excellence in everything we do. Life at CIBC is not only what you do, but how you do it.
What You’ll Be Doing
The Senior Manager, Credit Cards Analytics &; Insights will be a leading contributor on the AI, Data and Analytics (AIDA) team supporting the Credit Cards business within Personal and Business Banking. The AI, Data and Analytics team focuses on creating next-generation analytics assets to enable data-driven decision-making for partners in Product, Marketing, Client Segments and Strategy. In this role, you will lead analytics engagements to evaluate client behaviours and optimize business decisions related to product, campaigns, pricing, and other business areas. You will drive innovation through advanced AI and machine learning solutions, translating cutting-edge technology into
tangible business value and measurable outcomes. You will present insights and make data-driven recommendations to senior leaders to help identify opportunities to grow the business and better serve our clients. At CIBC, we enable the work environment that is most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement, where you’ll spend 1–3 days per week on- site while other days will be remote.
How You’ll Succeed
• Innovation & Value Realization – Champion a culture of innovation by identifying and implementing transformative AI and machine learning solutions that deliver measurable business value. Proactively seek opportunities to leverage emerging technologies to create competitive advantages, optimize client experiences, and drive revenue growth. Translate complex analytical initiatives into quantifiable business outcomes, demonstrating clear ROI and value realization across all engagements.
• Consultant – Be a leader and subject matter expert in Credit Cards. Integrate deep domain knowledge with analytical capabilities to deliver value to stakeholders, enable data-driven decision-making, and proactively identify opportunities to drive business growth through projects and business cases, acquisition and retention campaigns, pricing, channels, segments, products, and process enhancements.
• Analytics – Independently identify and leverage the right statistical techniques, including descriptive, predictive, and prescriptive analytics, to extract actionable insights from client behaviours and business trends, both internal and external. Apply advanced machine learning algorithms and AI-driven methodologies to uncover hidden patterns
and predict future trends with precision. Appropriately integrate big data, business intelligence, visualization, self-service, and analytical tools into engagements. Proactively explore new applications of advanced analytics, AI, and machine learning to innovate and build strategic analytics assets that create sustainable competitive
advantages.
• Technology – Leverage big data and analytical tools to analyze large structured and unstructured datasets, build data pipelines, and create visualizations from multiple data sources. Implement and deploy machine learning models and AI solutions using modern MLOps practices, ensuring scalability, reliability, and continuous improvement of analytical assets.
• Ownership – Orchestrate end-to-end delivery of solutions that meet stakeholder requirements and contribute to business success. Think and act like an owner in analytics initiatives, ensuring business needs are properly identified and translated into analytics requirements while maintaining a relentless focus on value creation and measurable business impact.
• Communication – Find the story in the data and communicate at varying levels of detail for the right audience. Articulate the business value and innovation potential of AI and machine learning initiatives to both technical and non-technical stakeholders, building enthusiasm and support for transformative change.
Who You Are
• You have a degree in a quantitative field such as mathematics, statistics, computer science, economics, engineering, physics, or business, or equivalent experience. An advanced degree is an asset, such as an MMA, MBAN, MSc, MA, or MBA.
• You have demonstrated expertise in artificial intelligence and machine learning, with hands-on experience developing, deploying, and maintaining ML models in production environments.
• You possess strong knowledge of machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, and Keras, and have applied various ML techniques, including supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning.
• You are a problem solver with exceptional critical thinking, problem-solving, and decision-making skills, and a demonstrated ability to independently identify and analyze business problems and recommend innovative solutions.
• You are proficient in programming languages and have experience using modern big data, analytical, and dashboard tools, such as Python, R, SAS, SQL, Hadoop, Spark, Alteryx, Tableau, Databricks, Power BI, MLflow, Azure ML, and AWS SageMaker.
• You have experience building end-to-end analytics solutions involving large datasets, including requirements gathering, data extraction, cleaning and transformation, statistical analysis, model development and deployment, presentation, and implementation.
• You have working knowledge of statistical techniques, such as regression, time-series analysis, clustering, and decision trees, and advanced machine learning algorithms, such as ensemble methods, neural networks, gradient boosting, and dimensionality reduction.
• You are passionate about innovation and have a proven track record of translating AI and ML capabilities into measurable business value, with experience in value realization frameworks and ROI measurement.
• You are an avid learner who recognizes that the analytics field is constantly evolving. You seek to explore emerging trends and best practices in AI, machine learning, and
innovative analytics methodologies, and you are excited to share that knowledge with others.
• You can be clearly understood. You have very strong communication and presentation skills, with a demonstrated ability to clearly and concisely present information to groups
and individuals at all levels of the organization.
• You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because its the right thing to do.
• Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
• Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
What You Need to Know
• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience.
• You need to be legally eligible to work in Canada at the location(s) specified above and, where applicable, must have a valid work or study permit.
• This is a contract role with a schedule of 37.5 hours each week.
Must have Requirements:
• Business Analyst experience - 8 years
• Product Knowledge - Banking - 3 years
• Experience in a consultative role focusing on data analysis - 3 years
• Previous experience in the Credit Card business (Banking or credit card industry)
• Experience manipulating and synthesizing large volumes of complex information from multiple sources.
• Strong knowledge of data modeling and statistical analysis techniques.
• Experience working with multiple stakeholders.
• Experience working on an Agile team.
• SQL experience / Python experience
Nice to have:
1. Digital analytics experience (Adobe)/
2. Marketing background
3. Direct Cibc experience
4. SAS experience (build and run macros)
Soft Skills:
• Good communication and storytelling skills.
• Excellent relationship building, verbal and written communications skills
• Time management
• Ability to present information in an organized and concise manner
NOTE
Close on Nov 10 at 3pm
G.G. Consulting Group uses advanced ATS systems to track and manage candidates and jobs. We do not use AI tools for candidate screening.
Skills
PythonAWSAzureSQLMachine LearningDeep LearningTensorFlowPyTorchScikit-learnSparkHadoopDatabricksTableauPower BIAgileR