Principal Data Scientist, Artificial Intelligence and Advanced Analytics

Application Deadline:

Address:

320 S Canal Street

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.
• 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.
• Keeps principles of Responsible AI front and center in the design of AI-powered tools.

Qualifications:

Graduate degree, preferably a PhD in Computer Science, Data Science or another quantitative discipline. 5+ years of work experience or equivalent research experience. Strong programming skills in Python and ability to analyze large amount data. 

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.
• 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:

$122,400.00 - $228,000.00

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 http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportu