• 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

 

 

 

 

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.

 

 

 

The Institutional Equity Division (IED) is a global leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. The Quantitative Investment Strategies group creates rules-based investment strategies that provide our clients with a wide range of exposures. We are looking for an experienced quantitative developer to join the QIS Strats team to help develop our library/platform used for QIS strategies, with a focus on automation of processes using cutting edge technology.

 

 

 

 

• Write high-quality code to enhance and add new functionality to the internal library that QIS strategies are built on.

• Write high quality documentation, and extensive unit/regression testing.

• Ensure correctness of risks and PnL produced by the library engines so systematic trading strategies can be hedged accurately by the trading desk.

• Migrate existing QIS strategies so that they leverage latest features of the library.

• Debug existing infrastructure to locate and extract efficiency gains.

• Investigate and fix incorrect risk, PnL, and PnL attribution.

• Understand systematic trading strategies, theory of risk premia investing, and mechanics of self-financing trading.

• Work closely with several global teams and interact with them closely to deliver result for the business.

 

 

• Postgraduate degree in Statistics/Computer Science/Math/Engineering

• 2 to 6 years of relevant experience

• Strong knowledge of Python

• Skilled at object-oriented programming (inheritance, abstraction, encapsulation)

• Familiarity with financial concepts.

• Strong interest and demonstrated experience in advanced Quantitative and/or Data Science domains

• Team player, good communication skills, self-starter, detail oriented

 

 

 

 

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.