Job Title: ETF Systems Engineer

Location: Toronto, ON (Hybrid model • up to four days in office, subject to space availability)

Duration: 12 months

Contract Type: T4 only

Pay Rate: $55.17 • $60.69/Hour

Role Mandate:

• These specialist roles will be part of the analytics and business intelligence team, supporting the development and build-out of ETF analytics systems at Global Asset Management team.

• The candidates will advance the platform development across different asset classes.

• The role blends expertise in financial markets and quantitative investing with strong technology and data skills.

• The successful candidate will contribute to the development of the bank’s quantitative investment platform, automate portfolio management workflows, and deliver analytics support to business users.

• Collaboration is key—this role involves working closely with data engineers and front-office investment professionals.

Role Responsibilities:

• Collaborate with portfolio managers to improve the technology platform supporting daily investment workflows.

• Partner with Data Engineers and Business Analysts to build data pipelines and automate routine tasks.

• Support re-design of legacy proprietary investment analytics frameworks, facilitating their transformation and migration to cutting edge infrastructure.

• Enhance existing reporting processes and frameworks through automation and effective data management.

• Apply AI and machine learning tools where appropriate to support reporting and investment decision-making.

• Perform recurring and ad-hoc large-scale financial data analysis to generate actionable insights for business leaders.

• Assess emerging technologies and innovative data solutions and evaluate their integration into existing systems.

• Communicate complex and abstract concepts in clear, simple terms.

• Create comprehensive documentation of current and target system architecture and code base.

Must Have Skills:

• SQL proficiency (hands on for 5+ years)

• Python proficiency (hands on for 5+ years)

• Asset management/Investment industry knowledge or designation (highly preferred).

• Proven experience in data analytics and machine learning is essential.

• Strong teamwork and cross-functional collaboration skills are critical.

Nice to Have Skills:

• C# advanced skills
• PLSQL advanced skills
• Snowflake experience
• AWS experience
• Hands-on experience with Streamlit, Prefect, Pydantic, NumPy, pandas, SQLAlchemy, and plotly
• Data science and machine learning knowledge
• Solid understanding and practical experience in capital markets
• Familiarity with investment performance and risk analytics is strongly preferred.
• Masters, PhD, or CFA investment designation