We offer:

• To work with some of the best professionals in the business - for a firm that values individual intellect as much as teamwork • State-of-the-art offices that are designed to maximize collaboration • Flexible working arrangements • Enriching challenges that provide opportunity for constant learning and advancement • An environment which is leveraging technology to its highest potential

*Team Profile: *

The Institutional Equity Division (IED) is a global leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. The Firm’s equity Sales & Trading operations provide liquidity, distribute content, and create product solutions to help our clients generate alpha. The Equity Financing Products department acts as a strategic partner to more than 800 top hedge fund managers: executing and clearing trades across asset classes, time zones, and currencies; providing financing and expertise to help manage risk and benefit from technology; and consults to help launch new funds and connect with them potential investors.

Position Description:

The candidate will be part of the front office team building infrastructure for the safe monitoring and enhancement of the derivative valuation models. The candidate should have a good understanding of models, great attention to detail, and ambition to build a top model control infrastructure. While the tasks are initiated by regulatory changes, it is the team’s intention to use these constraints to the desks’ advantage, creating tools that can be both used by the trading desk as well as the control functions. This role will also provide the candidate intimate understanding of the models used as well as their practical limitations.

Responsibilities include:

• Build cutting edge tools for understanding the risk of (mostly exotics) equity derivatives products. • Review and create documentation for the front office models and correct potential problems. • As part of the front office team, Strats have ownership of the pricing library. While it is not their primary responsibility, Strats can amend and improve the pricing models when required. • Conduct analysis of complex trade to assess the best pricing method.

Skills Required:

• A master’s degree or PhD in a quantitative subject such as Engineering, Applied Mathematics, Physics, Software Engineering. • Good understanding of Mathematical Finance, either self-taught, or via a master on the subject. • Experience with scripting language, Python, R, or an object-oriented language (C /Java). • Strong drive and desire to work in an intense team-oriented environment. • Ability to communicate effectively in both written and verbal English.

Nice to have:

• A combination of Computer Science and Mathematics would be an asset.

*About us: *

Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services. At Morgan Stanley Montreal, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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.

Build a career with impact. Visit morganstanley.com for more information.

Job: *Modeling

Title: *Quantitative Strategist - Equity Derivatives Strat (Hybrid) *

Location: Canada-Quebec-Montreal

Requisition ID: 3250003