Data Engineer

6 hours ago

Toronto, Ontario, Canada Apex Systems Full time

Data Engineer (Asset Management)

Line of business:
Wealth Management and Global Asset Management - Analytics and Business Intelligence

Duration/end date:
12 months

Working hours:
9am-5am EST (OT not expected)

Working Location:
First Canadian Place, Toronto (Hybrid model - three-four days in office, subject to space availability)

Role Mandate:
These data engineer roles will be part of the analytics and business intelligence team, supporting the development and build-out of ETF analytics systems at the Global Asset Management line of business. 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.

Team Structure: The selected candidate will be working in a collaborative environment within a team of approx. 5 people. This team is part of a larger 25 person team.

Responsibilities:

  • Collaborate with portfolio managers to improve the technology platform supporting daily investment workflows.
  • Partner with other 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.
  • Build strong internal and external relationships, working across teams to achieve business goals.
  • Stay ahead of industry trends and proactively implement relevant changes
  • Take on additional responsibilities as needed to support broader business objectives.

Key Qualifications:

  • 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

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