Business specialist

• Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g., trading systems, GRC, lending system, payment system, external credit rating system) to fulfill analytical needs.
• Supports various project teams across the project lifecycle to ensure development is aligned with the business requirements.
• Recommends and implements solutions based on analysis of issues and implications for the business.
• Assists in the development of strategic plans.
• Identifies emerging issues and trends to inform decision-making.
• Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements.
• Develops informative, coherent, and usable project documents (project artifacts) for multiple stakeholders covering functional and non-functional business requirements.
• Applies depth of domain & functional expertise for the assigned portfolio to drive the expected business value.
• Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
• Builds tests cases in order to validate business requirements and End-User Testing results.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently on a range of complex tasks

We are seeking a highly skilled and innovative analytics specialist with expertise in data engineering in on prem and cloud environments. The incumbent must be well versed in machine learning operations, and have some experience working with large language models (LLMs). This role is ideal for someone who thrives in a fast-paced environment and is passionate about transforming data into actionable insights and scalable analytical products to improve decision making. The work you do also contributes to making the work life of your colleagues better and more productive. It's important that you have a strong customer service mentality.

The role supports an efficient and effective Compliance risk management function by designing and building automated processes, tools and analytical reporting capabilities to improve workflow, decision making and monitoring of risk and operations over time. The role does this by bringing a strong background in data engineering, data analytics, data science and statistics.

• Design, build, and maintain analytical data products, dashboards, and reports to support business decision-making.
• Develop and deploy machine learning models and pipelines using Python and ML Ops best practices.
• Work with orchestration and ETL tools to automate data workflows and ensure data quality and integrity.
• Leverage AWS services for data storage, processing, and model deployment.
• Collaborate with cross-functional teams to integrate data solutions into SharePoint, PowerPlatform and other enterprise platforms.
• Explore and apply large language models (LLMs) to solve complex business problems and enhance analytical capabilities.
• Monitor and optimize performance of data products and models in production environments.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Or, a combination of higher education and five (5) or more years direct experience in data analysis, data engineering, and machine learning.
• Expert-level proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow. Knowledge of SAS or R, a nice-to-have but not required.
• Hands-on experience with ML Ops tools and frameworks (e.g., MLflow, SageMaker, Kubeflow).
• Microsoft Graph API and working with APIs
• Strong understanding of AWS services (e.g., S3, RDS, Lambda, Glue, Redshift, SageMaker).
• Experience with orchestration tools (e.g., Apache Airflow, Prefect) and ETL platforms.
• Strong knowledge of Microsoft PowerBI, PowerBI Apps and Workspaces.
• Familiarity with Microsoft SharePoint and Microsoft PowerPlatform a plus.
• Experience working with fine-tuning models machine learning and generative models (e.g., OpenAI, Hugging Face Transformers, classic ML).
• Excellent communication and collaboration skills.
• Independent and collaborative project management skills
• JIRA/Confluence
• GitHub

Salary:

$63,300.00 - $117,200.00

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.

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 view more details of our benefits, please visit:

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.

To find out more visit us at

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.