Data-Driven Associate CPP Investments

Position: Data-Driven Associate for CPP Investments
Enhance public market trading and data analytics as an Associate at CPP Investments' Investment Engineering team. Lead data workflows and system support initiatives.

As an Associate, you will be responsible for developing and maintaining essential data analytics pipelines. Collaborating closely with investment engineering pods and cross-functional teams, your role focuses on optimizing operational data and implementing sophisticated data workflows.

Experience with Python will empower you to automate processes efficiently.

Key Responsibilities:

• Collaborate on projects within investment engineering pods

• Design, develop, and maintain trade system monitoring platforms

• Analyze large operational datasets for optimization

• Implement end-to-end data workflows from ingestion to deployment

• Automate processes using AI and Python-based solutions

Requirements:

• Bachelor’s degree in finance, computer science, or mathematics

• 3–5 years in finance or investment management roles

• Proficient in Python and data science tools (e.g., pandas)

• Understanding of public market trading and latency workflows

• Excellent communication and collaborative skills

Join CPP Investments to leverage your expertise in investment engineering and data management.
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