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

Inclusion and Equal Opportunity Employment

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