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Added 12 mins ago
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Business System Analyst #26-28193
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Added 27 mins ago
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Added 27 mins ago
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Principal Software Engineer – Collateral Treasury Trading Platforms
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Toronto, ON · Greater Toronto Area, Canada
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- Full-time
Apply artificial intelligence and machine learning (AI/ML) enabled application development experience to integrate capabilities using modern services or frameworks where relevant

PwC Canada

Digital Operations, Senior Associate

Toronto, ON, Canada

The salary range for this position is $84,700 - $134,700. · Full-time

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Job details

Pay: The salary range for this position is $84,700 - $134,700.
Job type: Full-time
Apply by: Nov 16, 2026
Experience: A minimum of 5 years of experience in a relevant field.
Posting language: English
Posted: Sep 30, 2026

Original job description

At PwC, our people in operations consulting specialize in providing consulting services on optimizing operational efficiency and effectiveness. These individuals analyze client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance. We are seeking a Senior Associate to support client engagements focused on complex operations and planning decision‑making in highly constrained, mission‑critical environments. This role contributes to both analytical delivery and broader modernization efforts, including process, data, reporting, and system-enabled improvements.

The Opportunity:

As a Digital Operations, Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. You will work closely with Managers and senior team members to translate planning and readiness questions into analytical outputs that inform decision‑making. The role emphasizes strong analytical execution, clear communication of results, and an interest in how analytics is used in real operational decisions. Your role will include, but isn’t limited to:

Analytical Problem Solving

Support structuring of operational, logistics, and planning challenges as analytical problems under uncertainty.
Contribute to analysis of trade‑offs involving capacity, inventory, risk, service levels, and timing.
Apply quantitative techniques with appropriate rigor based on guidance from senior team members.

Applied Modelling & Analysis

Build and support quantitative analyses including Supply chain network and flow analysis, Inventory planning under uncertainty, Capacity, throughput, and bottleneck analysis, Scenario and probabilistic analysis using simulation
Support model testing, sensitivity analysis, and validation to ensure outputs are reliable and decision‑relevant.

Technology & Tools

Develop and maintain analytics code, models, and supporting documentation.
Work with data from multiple systems and sources.
Support documentation of business rules, data requirements, process flows, and reporting logic.
Tools may include Python, R, and SQL; optimization solvers; simulation libraries; and enterprise or cloud data platforms.
Follow governed, auditable analytics and documentation practices.

Team & Stakeholder Support

Work collaboratively within project teams to deliver high‑quality analytical outputs.
Support preparation of materials and insights for client discussions.
Proactively flag data, modelling, or assumption risks to senior team members.
Work effectively with both business and technical stakeholders.

What You'll Bring:

Your skills, knowledge, and experiences are what set you apart. Here's what we look for:

Degree in operations, industrial/systems engineering, computer science, or a closely related quantitative field.
A minimum of 5 years of experience in a relevant field.
Experience applying quantitative or analytical techniques to operations, supply chain, or planning problems in defense, manufacturing, or other asset‑intensive industries.
Strong analytical and problem‑solving skills with attention to data quality and assumptions.
Familiarity with enterprise platforms, system integration concepts, data architecture, and digital workflow enablement is an asset.
PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer.

Additional Requirements

Strong collaboration and communication skills, with the ability to simplify complex ideas for non‑technical audiences.

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders..

The salary range for this position is $84,700 - $134,700. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Why you’ll love PwC

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at:

https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.

The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).

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More about this job

Responsibilities

Support client engagements by translating operational, logistics, and planning challenges into quantitative analyses that inform decisions in constrained, mission-critical environments. Develop and validate models, maintain analytics code and documentation, and communicate findings and risks to project teams and stakeholders.

Requirements

A degree in operations, industrial or systems engineering, computer science, or a closely related quantitative field, and at least five years of relevant experience are required. Candidates should have experience applying analytical techniques to operations, supply chain, or planning problems, strong problem-solving and communication skills, and attention to data quality and assumptions.

Skills

Quantitative Analysis
Operations Planning
Supply Chain Analysis
Inventory Planning
Capacity Analysis
Simulation
Scenario Analysis
Python
R
SQL
Optimization
Data Quality
Model Testing and Validation
Stakeholder Communication
Process Improvement
Data Architecture

Benefits

Inclusive Benefits
Flexibility Programs
Variable Incentive Pay

Visa sponsorship

Not detected in the job text

Keywords

Operations Consulting
Operational Efficiency
Operational Planning
Supply Chain
Logistics
Inventory Planning
Capacity Planning
Throughput Analysis
Bottleneck Analysis
Scenario Analysis
Probabilistic Analysis
Simulation
Optimization Solvers
Python
R
SQL
Enterprise Platforms
Cloud Data Platforms
System Integration
Data Architecture
Digital Workflow Enablement
Data Quality
Model Testing
Sensitivity Analysis
Model Validation
Process Flows
Business Rules
Reporting Logic
Mission-Critical Environments
Decision-Making Under Uncertainty

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