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Bank of Montreal

Senior Data Scientist, Artificial Intelligence & Machine Learning

Reposted 16 Days Ago
Be an Early Applicant
In-Office
Toronto, ON
Mid level
In-Office
Toronto, ON
Mid level
The Senior Data Scientist develops AI-powered tools using Machine Learning techniques for predictive modeling and financial analysis while collaborating closely with technology teams and ensuring responsible AI practices.
The summary above was generated by AI

Application Deadline:

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

This role is with the AI and Advanced Analytics team that sits within the Chief Data and Analytics Officer for Risk and Finance organization. AI and Advanced Analytics team has the responsibility to create and execute on a roadmap for development and adoption of AI-powered tools across Risk and Finance groups

Key responsibilities and qualifications for the role are as follows:
  • Uses Large Language Models and Machine Learning techniques to develop AI-powered tools for a wide range of applications including predictive modeling, financial analysis and risk management.
  • Leverages techniques such as prompt engineering, retrieval-augmented generation (RAG), quantization, and low rank adaptation (LoRA) to adapt LLMs to the specific context of the organization.
  • Uses advanced Machine Learning techniques to mine and analyze large sets of structured and unstructured data to obtain insights or develop predictive models. 
  • Designs and develops agentic solutions to transform business processes with a clear goal of increasing efficiency and effectiveness to enhance the firm’s balance sheet and risk management capabilities.
  • Keeps principles of Responsible AI front and center in the design of AI-powered tools.
  • Works closely with technology teams to productionize and implement developed tools.  
  • Helps with governance and other activities related to executing the bank’s strategy on AI.

Qualifications:

Undergraduate or Master's degree in Computer Science or Data Science with strong programming skills in Python and ability to critically analyze large amount of data. 2+ years of work experience.

Advanced level of proficiency:

  • Mathematics, statistics & programming.
  • In-depth understanding of large language models.
  • In-depth understanding of supervised and unsupervised Machine learning techniques.
  • Creative thinking.
  • Critical thinking.
  • Data visualization.
  • Data wrangling.
  • Data preprocessing.
  • Data driven decision making.

Intermediate level of proficiency:

  • Effective verbal & written communication skills.
  • Analytical and problem-solving skills.
  • Ability to influence and work collaboratively
  • Able to manage ambiguity.
  • Influence skills.
  • Collaboration & team skills; with a focus on cross-group collaboration.

Salary:

$82,800.00 - $154,800.00

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: https://jobs.bmo.com/global/en/Total-Rewards

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 https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

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.

Top Skills

Data Visualization
Large Language Models
Machine Learning
Python
Responsible Ai

Bank of Montreal Montréal, Québec, CAN Office

119, rue Saint Jacques, Montréal, Quebec, Canada

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