Audit Analytics and AI Analyst - Data Science, 6 Month Contract (New or Recent Graduate Opportunity) Immediate Start Date

Application Deadline:

06/18/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

Data & Analytics

Data querying, extraction, and transformation (structured and semi-structured data)

Data analysis and insight generation to support audit activities

Data visualization and dashboard development for reporting and decision support

Alignment of data sources to audit risks and business use cases

AI & Automation

Prompt engineering and prompt library development for GenAI use cases

AI use case identification and intake (Audit AI & Analytics workflows)

Automation of audit processes using analytics and low-code tools (e.g., Power Platform)

Experience supporting GenAI-enabled audit solutions and self-serve tools

Audit & Risk Application

Applying analytics across audit lifecycle (planning, fieldwork, monitoring)

Identifying opportunities for continuous monitoring and risk detection

Supporting audit teams with analytics-driven insights

Understanding of audit methodology and integration of analytics into audit execution

Tools & Platforms

SharePoint (list management, metadata structuring, workflow support)

Data analytics and visualization tools (e.g., Power BI or equivalent)

Prompt libraries and AI enablement platforms (e.g., Copilot-integrated tools)

Excel and data manipulation tools

Product & Solution Development

UI/UX input for analytics and prompt library tools

Requirement gathering and translating business needs into technical solutions

Building and enhancing internal tools (e.g., prompt library interfaces, submission workflows)

Supporting backlog items and delivery pipelines for AI/analytics solutions

Collaboration & Communication

Working closely with audit teams, AI Champions, and stakeholders

Facilitating discussions on prompt usage and AI adoption

Translating technical outputs into business-friendly insights

Supporting training, demos, and knowledge sharing sessions

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.

Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.

Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.

Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.

Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.

Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.

Focus may be on a business/group.

Thinks creatively and proposes new solutions.

Exercises judgment to identify, diagnose, and solve problems within given rules.

Works mostly independently.

Broader work or accountabilities may be assigned as needed.

Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:

Intermediate level of proficiency:

Commercial astuteness.

Technology Transformation.

Learning Agility.

Emotional Agility.

Change Management.

Systems thinking.

Design leadership and executive alignment.

Stakeholder management.

Value Realization (Architecting & Tracking).

Driving outcomes.

Advanced level of proficiency:

Continuous process improvement.

Building and managing relationships.

Agile Frameworks and Practices.

Purpose and strategy alignment.

Coaching and Mentoring.

Facilitation Skills.

Verbal & written communication skills.

Analytical and problem solving skills.

Influence skills.

Collaboration & team skills.

Data driven decision making.

Salary :

$54,600.00 - $101,400.00

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.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards