Client Financing Strategist (Front Desk Quant) (Hybrid) / Stratège du financement de la clientèle (analyste quantitatif·ve à la réception) (hybride)

Morgan Stanley; Montreal; Hybrid; CAD 120,000 - 170,000; Full time

Job summary

Morgan Stanley is seeking a Front Desk Quant/Strat in Montreal to contribute to R&D of client financing strats with a data analytics focus and live risk/P&L system improvement. You will drive automation of trading workflows and develop production-grade analytics and risk tools.

The role requires an advanced quantitative degree and strong programming skills in Python and Scala, with collaboration across Operations, Middle Office and IT.

Qualifications

• Advanced degree in quantitative field.
• Knowledge of constrained optimization methods.
• Knowledge of statistical models (PGMs, MCMC, Bayesian networks) and capability to analyze large datasets.
• Strong communication skills and ability to present complex issues clearly in writing and speech.
• Ability to work independently and manage multiple projects.

Responsibilities

• Automate sales and trading workflows to improve efficiency and decision-making.
• Develop and support production Python analytics library for trading applications.
• Develop and support production Scala-based risk and P&L system.
• Collaborate with Operations, Middle Office and IT to improve Client Financing workflows.
• Gain deep knowledge of repo markets to improve collateral allocation and funding, balance sheet management, and P&L attribution.
• Identify P&L opportunities with Sales and Trading and implement solutions.
• Collaborate with other Strats groups to consolidate resources and advance solutions.

Education

Advanced degree in Mathematics, Statistics, Engineering, Physics or Computer Science

Tools

Scala

Python

Job description

The Client Financing Strats team focuses on three areas: developing pricing and risk models and systems to support client financing trading in products such as repo, bills, total return swaps, and bond forwards; implementing electronic trading algorithms for repo and bills and driving system development; and building data analytics that improve business operation efficiency.

Client Financing is seeking a Front Desk Quant/Strat in Montreal to contribute to the research and development of client financing strats, with a focus on data analytics and the improvement of live risk and P&L (profit and loss) systems.

Since 1935, Morgan Stanley has been known as a global leader in financial services, always evolving and innovating to better serve our clients and communities in more than 40 countries around the world.

What you'll do in the role:

• Drive automation of sales and trading workflows to unlock efficiency and empower smarter, faster decision-making.
• Actively develop and provide production support for trading applications in a Python-based data analytics library.
• Actively develop and provide production support for a Scala-based risk and P&L system.
• Collaborate closely with Operations, Middle Office and IT teams to improve existing Client Financing workflows.
• Acquire in-depth knowledge of repo markets to improve collateral allocation and funding, balance sheet management, and funding cost P&L attribution.
• Establish a close relationship with Sales and Trading to identify P&L opportunities and propose and implement creative solutions for P&L generation.
• Collaborate closely with other Strats groups to consolidate resources and advance strategic business solutions.

What you'll bring to the role:

• An advanced degree in a quantitative field such as Mathematics, Statistics, Engineering, Physics or Computer Science.
• Strong knowledge of constrained optimization methods and the ability to formulate complex problems within an optimization framework.
• Strong knowledge of statistical models such as PGMs, MCMC and Bayesian networks, and the ability to analyze large datasets.
• Strong communication skills and the ability to present complex issues clearly, both verbally and in writing; the capacity to think creatively and approach problems from innovative perspectives.
• The ability to work thoughtfully and independently and manage multiple projects.

Nice to have:

• Knowledge of generative models such as GANs, VAEs and GFlowNets.
• Knowledge of Fixed Income products.
• Strong technical programming skills in Scala and Python.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

L'équipe des stratégies de financement de la clientèle se concentre sur trois domaines : l'élaboration de modèles et de systèmes de tarification et de risque pour soutenir les opérations de financement de la clientèle visant des produits tels que les conventions de rachat, les bons du Trésor, les swaps de rendement total et les contrats à terme sur obligations; la mise en œuvre d'algorithmes de négociation électronique pour les conventions de rachat et les bons du Trésor ainsi que le développement de systèmes; et la création d'analyses de données qui améliorent l'efficacité des opérations commerciales.

Le service du financement de la clientèle recherche un(e) analyste quantitatif-ve/stratège à la réception à Montréal afin de contribuer à la recherche et au développement des stratégies de financement de la clientèle, en mettant l'accent sur l'analyse des données et l'amélioration des systèmes de gestion en temps réel des risques et des profits et pertes (P et P).

Depuis 1935, Morgan Stanley est reconnue comme un chef de file mondial des services financiers, en constante évolution et innovation afin de mieux servir sa clientèle et les communautés dans plus de 40 pays partout dans le monde.

Ce que vous ferez dans le cadre de ce poste :

• Automatiser les flux de travail de vente et de négociation afin d'accroître l'efficacité et de permettre des prises de décision plus éclairées et plus rapides.
• Participer activement au développement et au soutien à la production des applications de négociation au sein d'une bibliothèque d'analyse de données fondée sur Python.
• Participer activement au développement et au soutien à la production d'un système de gestion des risques et des profits et pertes fondé sur Scala.
• Collaborer étroitement avec les équipes de l'exploitation, du bureau intermédiaire et des TI afin d'améliorer les flux de travail existants du financement de la clientèle.
• Acquérir une connaissance approfondie des marchés des conventions de rachat afin d'améliorer la répartition et le financement des garanties, la gestion du bilan ainsi que l'attribution des coûts de financement et des profits et pertes.

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