Senior Manager, Audit Analytics & Data Services

ODAIA; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading analytic firm in Toronto is seeking an experienced analyst to work on financial crime audits. The role requires a university degree and at least 3 years of relevant experience, focusing on data analysis and automation of testing processes. Ideal candidates should have advanced SQL skills and familiarity with tools like Python and Tableau. The position offers a full-time contract and a dynamic work environment.

Qualifications

• Minimum 3 years of experience in audit analytics, risk analytics, or related data analysis roles.
• Ideally in a financial institution.

Responsibilities

• Define analytic approaches that support risk identification.
• Access, extract, and analyze data from enterprise systems.
• Design and execute analytics that identify anomalies.
• Automate repetitive testing activities.
• Present complex data findings using visualization tools.
• Ensure analytics work is well-documented and aligned with standards.
• Build strong relationships with stakeholders.

Skills

Big Data Analytics

Critical Thinking

Data Administration

Data Mining

Data Modeling

Data Movement

Detail-Oriented

Group Problem Solving

Quantitative Research

Research Documents

Education

University degree in a quantitative or analytical discipline

Tools

SQL

Python

R

Tableau

Apache Airflow

Apache Spark

Job description

Job Description

• Partner with Financial Crimes Audit team to define analytic approaches that support risk identification and intelligent control testing.
• Access, extract, and analyze data from enterprise systems such as transaction monitoring, client onboarding, and case management platforms.
• Design and execute analytics that identify anomalies, trends, or emerging risks related to financial crime.
• Automate repetitive testing activities to improve audit coverage and consistency across lines of business.
• Present complex data findings in a clear and compelling manner using visualization tools to support audit narratives and senior leadership discussions.
• Ensure all analytics work is well-documented, repeatable, and aligned with internal audit standards and regulatory expectations.
• Build strong relationships with key business stakeholders, audit teams and other data and analytics teams within the CAE group.
• Contribute to the continued development of scalable analytics for use across internal audit.
• University degree in a quantitative or analytical discipline (e.g. Computer Science, Data Science, Statistics, Engineering, Finance, Economics).
• Minimum 3 years of experience in audit analytics, risk analytics, or related data analysis roles, ideally in a financial institution.
• Advanced proficiency with SQL and strong working knowledge of data querying across structured and unstructured sources.

Nice-to-have

• Experience working with Financial Crimes systems and data.
• Familiarity with AML regulations, fraud detection methodologies, and typologies of financial crime.
• Knowledge of regulatory frameworks (FINTRAC, FATF, OFAC, etc.).
• Familiarity with data pipeline workflow tools such as Apache Airflow and large-scale processing engines such as Apache Spark.
• Hands-on experience with tools such as Python, R and Tableau for data wrangling, statistical analysis and visual reporting.
• Familiarity with internal audit practices, control frameworks, and data-driven assurance methodologies.

Job Skills

Big Data Analytics, Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents

Additional Job Details

• Address: 20 KING ST W: TORONTO
• City: Toronto
• Country: Canada
• Work hours/week: 37.5
• Employment Type: Full time
• Platform: INTERNAL AUDIT
• Job Type: Regular
• Pay Type: Salaried
• Posted Date: 2025-08-06
• Application Deadline: 2025-09-08

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above.

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