Data Scientist - Delta One Strats (Hybrid)

Job Details Hiring Organization Morgan Stanley Service Corp Montreal Office Post Name Data Scientist - Delta One Strats (Hybrid) Qualification BE/Btech Industry Private Employment Type Full Time Work Hours 8 Hours Salary CAD 55 To CAD 60 Per Hour Location Montreal, Quebec, Canada H3C 3S4 Job Description 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 an opportunity for constant learning and advancement An environment that 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. 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 stars 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. 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 & Skills 2+ years of data-related experience required Strong knowledge of Python, SQL, and general development principles, such as unit testing Strong interest and demonstrated experience in data science and quantitative domains Comfortable with Unix/Linux Team player, good communication skills, self-starter, detail-oriented Knowledge of KDB/Q and familiarity with equity trading and finance are a plus 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.

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