Data Scientist – Delta One Strats - Montreal, Canada - Morgan Stanley

Description

Job Number:

Posting Date

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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 Delta One Strats collaborate very closely with sales, traders and other teams to drive revenue across all facets of trading. Through idea generation, creativity and sharp problem- solving/technical skills, strats play a key role in the discovery of opportunities and delivery and improvements of strategies and tools used on the desk.

In this rapidly growing area, you'll have the opportunity to work with and learn from some of the top strats and traders in the Delta One Trading space. The team offers a nurturing environment where you will receive key mentorship that will allow you to continue to grow your skills and knowledge. As you work through challenging problems, you'll be highly recognized and rewarded from the impact you make.

Responsibilities:

• Work with various data providers (internally and externally) to acquire and analyze datasets

• Develop analytics by using cutting edge technology as well as principles of data science

• Serve as a data expert in explaining the make-up and use of datasets

• Create visualizations and present data analysis and findings

• Help with the development of trading and decision-making applications that utilize our data assets

• Be actively involved in the automation and streamlining of data workflows

Qualifications:

• 2-5 years of data related experience required

• Bachelor's degree in Statistics/Computer Science/Math/Engineering or related fields

• Strong knowledge of Python, SQL, and general development principles, such as unit testing

• Strong interest and demonstrated experience in data science and quantitative domain s

• Comfortable with Unix/Linux

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

Nice to have:

• Knowledge of KDB/Q and familiarity with equity trading and finance a plus

• Knowledge of Java is 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

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