Front Desk Quant/Strat: Client Financing Analytics

860 Morgan Stanley Svcs Canada Co

Montreal

Hybrid

CAD 130,000 - 180,000

Full time

2 days ago
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Job summary

Morgan Stanley in Montreal is seeking a Front Desk Quant/Strat to contribute to the research and development of client financing strategies with a focus on data analytics and live risk/P&L systems. The role involves automation of workflows, production support for Python analytics and a Scala risk/P&L system, and close collaboration with Sales, Trading and Operations.

Candidates should hold an advanced quantitative degree and have strong skills in optimization, probabilistic models, and

Qualifications

  • Advanced degree in Mathematics, Statistics, Engineering, Physics or Computer Science.
  • Strong knowledge of constrained optimization methods.
  • Strong knowledge of probabilistic models (PGMs, MCMC, Bayesian networks).
  • Excellent communication, written and verbal; ability to present complex issues clearly.

Responsibilities

  • Drive automation of sales and trading workflows to improve efficiency.
  • Develop and support Python-based data analytics library for production use.
  • Develop and support a Scala-based risk and P&L system in production.
  • Collaborate with Operations, Middle Office and IT to improve Client Financing workflows.
  • Understand repo markets to improve collateral allocation and funding, balance sheet management and P&L attribution.
  • Identify P&L opportunities with Sales and Trading and propose creative solutions.
  • Collaborate with other Strats groups to consolidate resources and advance business solutions.

Skills

Constrained optimization
Statistical models
Python programming
Scala programming
Communication skills
Independent work & multi-projects
Generative models

Education

Advanced quantitative degree

Job description

Morgan Stanley in Montreal is seeking a Front Desk Quant/Strat to contribute to the research and development of client financing strategies with a focus on data analytics and live risk/P&L systems. The role involves automation of workflows, production support for Python analytics and a Scala risk/P&L system, and close collaboration with Sales, Trading and Operations.

Candidates should hold an advanced quantitative degree and have strong skills in optimization, probabilistic models, and

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