Quantitative Developer

BMO Financial Group; Toronto; On-site; CAD 81,000 - 152,000; Full time

Job summary

BMO Financial Group is seeking a skilled developer to design and maintain applications that enhance portfolio management capabilities. The ideal candidate has a strong background in software development, particularly in Python and SQL, coupled with experience in finance. This role necessitates collaboration across teams and a commitment to delivering high-quality technical solutions in a fast-paced environment.

Benefits

Health insurance

Tuition reimbursement

Retirement savings plans

Qualifications

• 5+ years experience in software development and data engineering.
• Strong programming skills in Python and SQL.
• Familiarity with financial markets preferred.

Responsibilities

• Design, develop, and maintain custom applications for portfolio management.
• Implement and optimize data pipelines and ETL processes.
• Engage with stakeholders to understand their requirements.

Skills

Python

SQL

Data Engineering

Analytical Skills

Problem Solving

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

CFA or CSC completed or in progress

Tools

Airflow

AWS

Git

Job description

In this role, you will design, develop, and maintain custom applications that support various portfolio management capabilities. Working closely with cross-functional teams and engaging directly with investment desks, you will translate business and data needs into efficient, high-quality solutions. Your strong programming expertise, data engineering experience, and understanding of financial markets will be crucial as you help drive our technology forward in a dynamic, fast-paced environment.

Responsibilities:

• Design, develop, and maintain custom applications for portfolio management.
• Write clean, maintainable, and testable code in accordance with industry best practices.
• Engage with stakeholders to understand their requirements and transform them into effective technical solutions.
• Collaborate with cross-functional teams to fulfill data needs and deliver robust solutions.
• Interact directly with investment desks to ensure that applications effectively support their operations.
• Implement and optimize data pipelines and ETL processes from various sources.
• Develop and maintain data models and schemas to support analytical and reporting functions.
• Implement data quality checks and monitoring systems to ensure data accuracy and integrity.
• Participate in code reviews and provide constructive feedback to team members.
• Stay updated with technology trends and best practices in data engineering and software development.
• Contribute to the evolution of best practices and standards within the team.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• CFA or CSC completed or in progress preferred.
• Minimum of 5+ years of experience in software development and data engineering.
• Strong expertise in Python and SQL programming required.
• Familiarity with financial markets and investment management concepts is a plus.
• Experience in investment data analytics and modeling is beneficial.
• Strong analytical and problem-solving skills.
• Maintain and support existing applications and systems.
• Excellent communication and collaboration abilities.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Knowledge of machine learning concepts and frameworks is advantageous.
• Experience with data engineering tools and frameworks such as Airflow, Prefect, or similar.
• Demonstrated experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with data visualization tools like Streamlit, Dash, or similar.

Core Technologies:

• Programming Languages: Python, SQL is essential, R, SAS is a plus.
• Databases: Oracle, Postgres, Snowflake, Redshift.
  Data Visualization: Streamlit, PowerBI.
• Operating Systems: Windows.
• Workflow Orchestration: Prefect.
• Version Control: Git, GitHub.

Application Deadline:

06/11/2025

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

In this role, you will design, develop, and maintain custom applications that support various portfolio management capabilities. Working closely with cross-functional teams and engaging directly with investment desks, you will translate business and data needs into efficient, high-quality solutions. Your strong programming expertise, data engineering experience, and understanding of financial markets will be crucial as you help drive our technology forward in a dynamic, fast-paced environment.

Responsibilities:

• Design, develop, and maintain custom applications for portfolio management.
• Write clean, maintainable, and testable code in accordance with industry best practices.
• Engage with stakeholders to understand their requirements and transform them into effective technical solutions.
• Collaborate with cross-functional teams to fulfill data needs and deliver robust solutions.
• Interact directly with investment desks to ensure that applications effectively support their operations.
• Implement and optimize data pipelines and ETL processes from various sources.
• Develop and maintain data models and schemas to support analytical and reporting functions.
• Implement data quality checks and monitoring systems to ensure data accuracy and integrity.
• Participate in code reviews and provide constructive feedback to team members.
• Stay updated with technology trends and best practices in data engineering and software development.
• Contribute to the evolution of best practices and standards within the team.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• CFA or CSC completed or in progress preferred.
• Minimum of 5+ years of experience in software development and data engineering.
• Strong expertise in Python and SQL programming required.
• Familiarity with financial markets and investment management concepts is a plus.
• Experience in investment data analytics and modeling is beneficial.
• Strong analytical and problem-solving skills.
• Maintain and support existing applications and systems.
• Excellent communication and collaboration abilities.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Knowledge of machine learning concepts and frameworks is advantageous.
• Experience with data engineering tools and frameworks such as Airflow, Prefect, or similar.
• Demonstrated experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with data visualization tools like Streamlit, Dash, or similar.

Core Technologies:

• Programming Languages: Python, SQL is essential, R, SAS is a plus.
• Databases: Oracle, Postgres, Snowflake, Redshift.
  Data Visualization: Streamlit, PowerBI.
• Operating Systems: Windows.
• Workflow Orchestration: Prefect.
• Version Control: Git, GitHub.
• Cloud Platform: AWS.

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.

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.

About the company

The Bank of Montreal is a Canadian multinational investment bank and financial services company.

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