intermediate audit data analytical specialist/scientist.

We are seeking a highly accomplished Intermediate Audit Data Analytical Specialist/Scientist to lead the data analytics function within the Audit Regulatory Compliance and Control (ARCC) department. In this role, you will take technical ownership of organizing, analyzing, and presenting insights on complex corporate datasets within an internal audit framework. Operating in accordance with the Institute of Internal Auditors (IIA) standards, you will build repeatable analytical models, design continuous control monitoring workflows, and leverage advanced script-driven diagnostics to mitigate enterprise risks, uncover process anomalies, and detect potential fraud markers across the transit infrastructure network.

Location: Toronto, ON (Hybrid – Up to 3 days per week onsite, subject to hiring manager's discretion)

Duration: 6-month contract (start date subject to change to an earlier date if candidate is selected sooner)

Advantages
Enterprise Transit Transformation Impact: Influence the risk oversight and digital compliance operations safeguarding one of North America's largest and most rapidly expanding public transit infrastructure frameworks.

Modern Big Data Sandbox: Maximize your skills in an advanced data science landscape combining scalable big-data compute engines (Databricks) with flexible programming structures.

High-Visibility Consultative Footprint: Step into a prominent technical seat, directly advising internal audit headers, enterprise risk committees, and operational division directors on process optimization.

Agile Contract Mobilization: Capitalize on an immediate engagement path with a balanced hybrid scheduling structure designed for efficient milestone delivery.

Responsibilities
Audit Analytics Function Leadership: Lead the technical design, pipeline execution, and delivery of automated data diagnostics to maximize the efficiency of audit scoping, substantive testing, and executive risk reporting.

Complex Risk & Anomaly Profiling: Ingest, parse, and evaluate massive, multi-source enterprise datasets to isolate data trends, flag structural outlier activities, and surface hidden operational control gaps.

Continuous Control Monitoring & Models: Collaborate with audit managers to engineer repeatable statistical and analytical models that can be transitioned into active control monitoring and process-improvement frameworks for business units.

Data Quality & Triage Engineering: Inspect raw source data pipelines to catch data quality degradation, systematic inconsistencies, and processing omissions, collaborating with business unit leads to resolve architecture gaps or extraction bottlenecks.

Advanced Data Ingestion & Transformation: Write, compile, and maintain high-performance queries and scripts to query, manipulate, validate, and clean financial, operational, and inventory data modules.

Automated Fraud & Forensic Diagnostics: Continually develop and scale reusable code scripts and algorithmic profiles tailored specifically for fraud detection, security assurance, and targeted control-testing parameters.

Executive Visualization & Dashboards: Translate convoluted analytical data discoveries into clean, actionable executive dashboards, visual metrics, and reports using advanced data communication toolsets.

Auditability & Reproducibility Documentation: Author rigorous technical documentation detailing specific data analytics procedures, extraction logic, mathematical assumptions, and source lineages to ensure total transparency and adherence to formal IIA auditability criteria.

Qualifications
Core Data Engineering Seniority: 5+ years of progressive professional experience conducting internal/external IT audits, data analysis, or corporate risk-management assignments.

Technical Analytics Tool Stack Mastery: 5+ years of dedicated professional experience writing clean, optimized, and performant code utilizing SQL and Python to query, manipulate, validate, and analyze complex datasets (Strictly Required).

Enterprise Reporting & Cloud Compute Depth: 5+ years of hands-on experience designing analytical dashboards, briefs, and summary memos inside Power-BI, Databricks, and the Microsoft Office suite (Strictly Required).

Advanced Statistical Discovery & Anomaly Testing: 5+ years of verified expertise parsing large, highly complex datasets to isolate behavioral trends, fraud anomalies, and internal control breakdown indicators (Strictly Required).

Data Architecture Literacy: Sound understanding of data pipeline governance, metadata management, source-to-target schema mapping, and foundational information security concepts.

Methodological Framework Alignment: Working knowledge of structured internal control concepts, with the ability to operate under the Institute of Internal Auditors (IIA) standards and the Internal Audit Charter.

Soft Skills: Superior critical-thinking, analytical reasoning, and communication capabilities, with a proven track record of clearly articulating technical findings to non-technical business leaders.

Education & Designations:
Degree Completion: Bachelor's degree in Mathematics, Statistics, Business Administration, Computer Science, Information Technology, Accounting, or a closely related quantitative discipline.

Desirable Designations: Active enrollment or possession of industry-recognized professional designations, specifically auditing certifications (e.g., CIA, CISA) or technical equivalents.

Summary
If you're interested in the "Intermediate Audit Data Analytical Specialist/Scientist" role based in Toronto, we encourage you to apply online at Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to View email address on randstad.com to ensure their ability to fully participate in the interview process.

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