Quantitative Developer, Global Asset Management
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Key skills for this role
About the Role
BMO Global Asset Management is hiring a Quantitative Developer to join the ETF Analytics and AI Solutions team. The role involves developing and maintaining ETF systems and analytics, building portfolio management tools, and supporting daily operations.
Key Skills for This Role
Responsibilities
- Contribute to design and implementation of a modern portfolio management platform using cutting edge technology
- Collaborate with portfolio managers and technology teams to create innovative portfolio management solutions
- Partner with Data Engineers and Business Analysts to architect robust data pipelines and real time analytics
- Oversee daily system operations, monitor automated jobs, and resolve failures
- Build intuitive, high performance front end tools for portfolio managers
- Develop portfolio optimization workflows to enhance investment decision making
- Build real time analytics capabilities for faster insights and improved operational efficiency
- Ensure scalability of the platform to support growing data volumes and complex investment strategies
- Collaborate on solutions that enable new investment products and asset classes
Requirements
- SQL proficiency (5+ years)
- Python proficiency (5+ years)
- Cloud computing system skills (Snowflake / AWS / Azure)
- Strong understanding of asset management and ETF analytics (designation preferred)
- Hands on experience with operational monitoring and troubleshooting
- Strong teamwork and cross functional collaboration skills
- Advanced degree in computer science, financial engineering, or related field (preferred)
- Degree or designation in financial markets (preferred)
Full Job Posting
Position Overview
- Hiring a specialist role for the ETF Analytics and AI Solutions team within BMO Global Asset Management.
- Role supports development and maintenance of ETF systems and analytics, driving transformation of existing systems platforms.
Roles and Responsibilities
- Contribute to design and implementation of a modern portfolio management platform.
- Collaborate with portfolio managers and technology teams.
- Partner with Data Engineers and Business Analysts to architect data pipelines.
- Oversee daily system operations and monitor automated jobs.
- Build intuitive front end tools for portfolio managers.
- Develop portfolio optimization workflows.
- Build real time analytics capabilities.
- Ensure scalability of the platform.
- Collaborate on solutions for new investment products.
Required Skills and Experience
- SQL proficiency (5+ years).
- Python proficiency (5+ years).
- Cloud computing system skills (Snowflake / AWS / Azure).
- Strong understanding of asset management and ETF analytics.
- Hands on experience with operational monitoring and troubleshooting.
- Strong teamwork and cross functional collaboration skills.
Preferred Skills and Experience
- Familiarity with Streamlit, Prefect, Pydantic, NumPy, pandas, SQLAlchemy, plotly.
- Knowledge of investment performance and risk analytics.
- Advanced degree in computer science, financial engineering, or related field.
- Degree or designation in financial markets.
- Experience in systems migration or transition.
Salary
- CAD 67,200.00 CAD 124,200.00.
- Salaried pay type.
- May include performance based incentives and discretionary bonuses.
- Health insurance, tuition reimbursement, accident and life insurance, retirement savings plans.
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