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

Strong 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 (Winnipeg)
🏢 Morgan Stanley
📍 Winnipeg