IT Audit Analyst

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: $51 per hour.

• Incorporated Business Rate: $60 per hour.

• 5-month contract.

• Full-time position: 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;
Git Hub portfolio of relevant work is preferred.

• 2 years of hands-on experience with SQL and Python, including libraries such as Num Py, 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 Sage Maker 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.