remote
Senior Associate, Investment Engineering & Analytics - CPP Investments Investissements RPC
Software Engineer
Senior Associate in Investment Engineering & Analytics driving data‑driven investment decisions using Python, SQL, and machine learning to model portfolio performance and risk across public and private markets.
About the role
Key Responsibilities
- Develop and maintain advanced analytical models in Python to forecast portfolio performance and assess risk metrics.
- Extract, transform, and load large financial datasets using SQL and ETL pipelines for analysis and reporting.
- Apply machine learning techniques to identify investment opportunities and optimize asset allocation.
- Collaborate with investment teams to translate business requirements into technical solutions and actionable insights.
- Document model logic, assumptions, and validation results for audit and compliance purposes.
Requirements
- Bachelor’s or Master’s degree in Finance, Economics, Computer Science, or related field.
- 5+ years of experience in quantitative finance, investment analytics, or data science within an institutional investment environment.
- Proficiency in Python (pandas, NumPy, scikit‑learn) and SQL for data manipulation and analysis.
- Strong understanding of financial instruments, portfolio theory, and risk management concepts.
- Excellent communication skills and ability to present complex findings to non‑technical stakeholders.
Skills
pythonsqldata analysismachine learning