Audit Manager, Data Science

100 King Street West Toronto Ontario,M5X 1A1

An effective audit function provides vital assurance to the Board of Directors and senior management as to the quality and effectiveness of the internal control system and in so doing helps reduce the risk of loss and reputational damage to the Enterprise. The function is instrumental in identifying high risk circumstances that could lead to material impact on profitability or reputation.

Reporting to Senior Audit Manager, Data Science, the Audit Manager, Data Science is responsible for
- Build rule-based, statistical and machine learning models and pipelines via SQL and Python based framework
- Automate analytics and author data pipelines via SQL and Python based ETL framework
- Develop user interface for self-served analytics via Python and JavaScript based framework
- Create and maintain internal documentation on projects, pipelines, tools, datasets, know-how and best practices
- Contribute to design of roadmap for analytics and data science, e.g. discussions relating to project timelines, analytics adaptation, and training curriculum about AI / ML within audit
- Share and promote success stories relating to completed projects within audit
- Stay up to date on data, technologies, AI trends and workflows within BMO as they are developed, and help audit partners understand and prepared for relevant communications
- Partner with various audit teams to identify opportunities to improve audit process via AI / ML, automation pipelines and analytics, and to define good metrics to measure and monitor such improvements
- Partner with IT specialists across Technology and Operations to implement and productionize analytical and self-served solutions
- Partner with IT specialists across Cloud Engineering and similar functions for experimentations relating to cloud-based analytical tools and services, should the need arise

Qualifications:

- Master’s degree or higher in a Quantitative or Technical field
- Typically 5 - 7 years of experience
- Solid understanding of statistical modeling and data science methods
- Proficiency in SQL and Python
- Experience with Unix/Linux shell
- Experience working cross-functionally and communicating technical content to general audiences

Preferred Qualifications:

- Experience initiating and driving projects to completion with mínimal guidance
- Experience with web development
- Experience with distributed computing and cloud services
- Knowledge of SAS and R
- Knowledge of agile methodology

**Salary**:
$81,600.00 - $151,200.00

**Pay Type**:
Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

**About Us**

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.