Data analytics and Python meet client financing strategy in Montreal, with hybrid work supporting live risk and P&L; systems.

Morgan Stanley seeks a Front Desk Quantitative Strategist for Client Financing. You will develop strats across repo, bills, total return swaps, and bond forwards. The work combines automation, Scala risk systems, statistical modeling, and trading application support.

Key Responsibilities:

- Automate sales and trading workflows for faster decision-making
- Develop and support Python-based trading applications
- Develop and support Scala-based risk and P&L; systems
- Improve Client Financing workflows with Operations, Middle Office, and IT
- Analyze repo markets, collateral allocation, and funding cost P&L;

Requirements:

- Advanced degree in mathematics, statistics, engineering, physics, or computer science
- Solid constrained optimization and complex problem formulation knowledge
- Knowledge of PGMs, MCMC, Bayesian networks, and large datasets
- Strong verbal and written communication skills
- French and English required; independent project management ability

Apply quantitative modeling, Python, Scala, and data analytics to advance Morgan Stanley's Montreal Client Financing systems.

📌 Front Desk Quantitative Strategist Montreal
🏢 Morgan Stanley
📍 Montreal