IT Audit Analyst

Job Description

IT Audit Analyst 



Strategic and highly visible consulting opportunity in the insurance industry for a senior digital analytics expert. Use Python, SQL, and Tableau to lead advanced audit analytics, data automation, and risk insights. Hybrid role in Toronto with global collaboration, executive exposure, and hands-on data science application.



What is in it for you:




• Salaried: $58 per hour.


• Incorporated Business Rate: $68 per hour.


• 5-month contract.


• Full-time position: 37.50 hours per week.


• Hybrid role, 2 days per week in Toronto office.


• Join a passionate and inclusive team of professionals.



Responsibilities:




• Own and deliver analytical project planning and execution for audit and advisory engagements.


• Define scope, objectives, and deliverables with audit teams and perform data analytics procedures to evaluate controls and business objectives.


• Generate analytics insights, identify outliers or anomalies, and support automation in audit processes.


• Collaborate with IT and business stakeholders to access and interpret data structures and sources.


• Develop access plans, gather data, and document system and business process knowledge for future reuse.


• Lead initiatives in audit digitization, including continuous auditing, automated monitoring, and process automation.


• Apply programming, statistics, data visualization, ML Ops, and machine learning to identify control gaps and enhance assurance quality.


• Contribute to shaping audit strategy and policies, driving continuous improvement using technology.


• Design and deliver analytics training in SQL, Python, and Tableau for internal audit teams.


• Build relationships with audit stakeholders and internal/external analytics communities.



What you will need to succeed:




• Advanced degree in a quantitative discipline such as Data Science, AI, Engineering, Operations Research, Computer Science, Statistics, or Mathematics.


• 2+ years of experience in the financial or insurance industry.


• 2+ years of experience in data science or machine learning roles.


• 2+ years of experience developing and productionizing NLP or generative AI models; GitHub portfolio of relevant work is preferred.


• 2 years of hands-on experience with SQL and Python, including libraries such as NumPy, pandas, matplotlib, and scikit-learn


• Proficiency in data visualization tools such as Tableau or Power BI.


• Demonstrated ability to create executive-level dashboards and storytelling visualizations.


• Strong written and verbal communication skills.


• Ability to influence across all organizational levels and work through ambiguity.


• Deep knowledge of IT, data analytics, digital processes, and internal controls in a corporate environment.


• Practical experience with statistical analysis techniques such as regression, clustering, and decision trees.


• Familiarity with AWS SageMaker and machine learning pipelines.


• Knowledge of digital platforms, web, mobile, personalization, and AI technologies.


• Bonus: Experience with audit analytics tools such as Archer, Arbutus, Alteryx, or Dataiku.



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