Investment Data Process Engineer in Vancouver

Investment Data Process Engineer in Vancouver

Vancouver Full-Time 72000 - 88000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and improve investment data processes while ensuring data quality and governance.
  • Company: Join Connor, Clark & Lunn Financial Group, a leader in financial services.
  • Benefits: Enjoy a hybrid work setup, competitive salary, and opportunities for growth.
  • Other info: Collaborative environment with a focus on innovation and automation.
  • Why this job: Make a real impact on investment data quality and efficiency in a dynamic team.
  • Qualifications: Experience in process design and a passion for data governance.

The predicted salary is between 72000 - 88000 $ per year.

Connor, Clark & Lunn Financial Group Ltd. is seeking an Analyst, Business Process Engineering for its Investment Data Architecture (IDArch) team.

The role focuses on end-to-end process design, data governance and improving data timeliness and quality across security, pricing and reference data.

It operates within a hybrid in-office/remote setup.

You will document current-state processes, partner with investment teams to translate needs into requirements, and drive automation with IT.

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Investment Data Process Engineer in Vancouver employer: Connor, Clark & Lunn Financial Group Ltd.

At Connor, Clark & Lunn Financial Group, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Constraints Governance Manager, you will benefit from our commitment to professional development, with ample opportunities for growth and advancement in the dynamic financial sector. Located in a vibrant city, our team enjoys a supportive environment that values diversity and encourages meaningful contributions to enhance operational efficiency and governance.

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Contact Details:

Connor, Clark & Lunn Financial Group Ltd. Recruitment Team

We think you need these skills to ace Investment Data Process Engineer in Vancouver

Business Process Design
Data Governance
Data Quality Improvement
Documentation Skills
Requirements Gathering
Automation
Collaboration