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
Robust 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