Front Desk Quantitative Strategist Montreal
Morgan Stanley
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-makingDevelop and support Python-based trading applicationsDevelop and support Scala-based risk and P&L systemsImprove Client Financing workflows with Operations, Middle Office, and ITAnalyze repo markets, collateral allocation, and funding cost P&LRequirements:
Advanced degree in mathematics, statistics, engineering, physics, or computer scienceStrong constrained optimization and complex problem formulation knowledgeKnowledge of PGMs, MCMC, Bayesian networks, and large datasetsStrong verbal and written communication skillsFrench and English required;
independent project management abilityApply quantitative modeling, Python, Scala, and data analytics to advance Morgan Stanley's Montreal Client Financing systems.
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Automate sales and trading workflows for faster decision-makingDevelop and support Python-based trading applicationsDevelop and support Scala-based risk and P&L systemsImprove Client Financing workflows with Operations, Middle Office, and ITAnalyze repo markets, collateral allocation, and funding cost P&LRequirements:
Advanced degree in mathematics, statistics, engineering, physics, or computer scienceStrong constrained optimization and complex problem formulation knowledgeKnowledge of PGMs, MCMC, Bayesian networks, and large datasetsStrong verbal and written communication skillsFrench and English required;
independent project management abilityApply quantitative modeling, Python, Scala, and data analytics to advance Morgan Stanley's Montreal Client Financing systems.
#J-18808-Ljbffr
Vacancy posted 2 hours ago
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