Associate, Investment Data and Technology - Toronto, Canada - Canada Post - Postes Canada

Canada Post - Postes Canada
Canada Post - Postes Canada
Verified Company
Toronto, Canada

3 weeks ago

Sophia Lee

Posted by:

Sophia Lee

beBee Recruiter
Description
Job Requisition Id: 178099


Business Function:
Pension Investment


Primary City:
Toronto


Other Location(s):

Province:
Ont. - GTA


Employment Type:
Full-Time


Employment Status:
Permanent


Language Requirement:
English Essential


Employee Class and Level:
CPMGA01

Number of Vacancies 1

Job Closing Date (MM/DD/YYYY): 02/26/2024


Reporting to the Manager, Pension Investment Technology, the Associate, Investment Data and Technology assists in designing, maintaining, and advancing the in-house IT structure of Pension Investment.

The Associate works with cross-functional teams, supporting the development and maintenance of data architecture, models, and integration services. The Associate leverages their skills to transform key data from various business domains into insights.

Utilizing their IT and finance experience, the Associate enables efficient data management, insightful analytics, and provides robust support for issue resolution, facilitating informed decision making and ensuring no interruptions to workflow.

The Associate offers flexible IT support as the Pension Investment team grows, technology needs changing, and new needs arise.


Responsibilities:

Below are the main job requirements and responsibilities for the Associate, Investment Data and Technology:

  • Develops scripts to automate reports for the Pension Investment team. Ensures reporting automation is meeting clients' needs, correcting any reporting issues that arise. Thinks critically, does research, and analysis to provide resolutions for issues related to reporting, escalating to the Manager when necessary.
  • Assists in the design and implementation of high-quality, well-tested data pipelines and systems using the latest technologies. Researches and recommends new technologies relevant to data warehousing, cloud computing, AI, etc.
  • Utilizes Python programming and various data visualization tools for the development of automated solutions in data processing, analysis, and presentation.
  • Integrates with internal and external investment systems, leveraging modern cloud technologies and tools on an event-driven architecture. Supports day-to-day issue resolution.
  • Act as an IT support liaison for the Pension Investment department, handling a variety of IT-related issues, including hardware and software challenges. When necessary, coordinates interactions between users and IT support teams (submitting support tickets, setting up meetings) ensuring timely resolutions.

Job Responsibilities (continued):


  • Manages smaller-scale IT projects, coordinating with stakeholders to determine the business needs. In consultation with the Manager, completes the applicable development and supports the project deployment.
  • Interacts with clients to gather information, explore gaps in current services, gain new perspectives, consider best practices, and explore new strategies. Collaborates with management to communicate needs and findings, negotiate business cases, and to influence the best courses of action for reporting automation.
  • Contributes to the development of new internal guides, documents, and information sources, and revises existing documents, based on team needs.
  • Stays abreast with technological trends, continually enhancing technical skills through research and experimentation. Troubleshoot and resolve operational issues in both development and production environments.
  • Networks with industry professionals from external pension plan groups to remain up to date on industry trends and maintain a network of other IT professionals.

Qualifications:


EducationExperience**- 1 to 3 years of relevant development experience, including experience with needs assessment, solution design, implementation, and ongoing support/evolution.

  • Demonstrated experience with AWS, SnowFlake, or similar cloud platforms.
  • Experience with technologies such as Jira, GitHub.
  • IT generalist knowledge of systems and programs.
  • Working knowledge of trading lifecycle and investment workflow with experience in investment data flows, operational processing requirements, and management of data assets is an asset.
  • Strong understanding of data management, integration, and warehousing concepts, with experience in relational and multidimensional database structures.
  • Strong proficiency in Python is essential for developing automated data processing solutions and advanced data visualizations.
  • Proficient in SQL with experience querying large datasets from multiple sources.
  • Proficiency in data engineering tools and frameworks, including Airflow, Docker, Spark, PySpark, and ETL/ELT processes an asset.
  • Exposure to various software development methodologies and practices like Test-Driven Development, Automation, Continuous Delivery, Containerization.
  • Exemplary communication and coordination skills

Other Information:


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