Data Scientist for Quantitative Investment Strategies (Hybrid)

Morgan Stanley; Montreal; Hybrid; CAD 70,000 - 110,000; Full time

Job summary

An established industry player seeks a talented Data Scientist to join its Quantitative Investment Strategies team in Montreal. This role offers the opportunity to work on innovative projects that leverage data for strategic insights. You will collaborate with various teams to enhance data quality and develop intelligent solutions, all while working in a hybrid environment that promotes flexibility and teamwork. Join a firm that values individual intellect and fosters a culture of inclusion, where your contributions can make a significant impact in the financial services sector.

Benefits

Flexible working arrangements

State-of-the-art offices

Continuous learning opportunities

Supportive and inclusive environment

Qualifications

• Minimum 2 years experience in data science or related field.
• Proficiency in Python, Pandas, and SQL required.

Responsibilities

• Create and enhance dashboards for data and insights.
• Collaborate with teams to build Python toolkits for research.

Skills

Data Science

Python

SQL

Analytical Skills

Problem-solving

Communication Skills

Education

Advanced degree in Statistics/Computer Science/Math/Engineering

Tools

Pandas

Numpy

KDB/Q

Java

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 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 Morgan Stanley 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 (QIS) group within IED creates rules-based investment strategies that provide our clients with a wide range of exposures.

We are seeking a skilled Data Scientist with at least 2 years of experience to join the QIS Strats team in Montreal. The successful candidate will be an integral part of the Global QIS data platform team, working on innovative projects and leveraging data to drive insights and solutions.

Key Responsibilities:

• Create and enhance dashboards for data and index telemetry as well as insights for Sales, Trading and Management.

• Work with various data providers (internal and external) to acquire and analyze datasets.

• Gain expertise on datasets and help develop intelligent quality checks.

• Responsible for maintenance and governance around data quality and index publication.

• Partner with the Technology data platform teams to drive scalable and reliable solutions.

• Collaborate with the Structuring, QIS Strats and the Technology teams to build Python toolkits and custom data adaptors for the research platform.

• Active involvement in the automation and streamlining of data workflows.

Qualifications:

• Minimum of 2 years of experience in data science or a related field

• Advanced degree in Statistics/Computer Science/Math/Engineering or related fields

• Proficiency in Python, Pandas, and Numpy

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

• Strong interest and demonstrated experience in data science and quantitative domains.

• Comfortable with UNIX/Linux

• Excellent problem-solving and analytical skills

• Ability to work collaboratively in a team environment.

• Strong communication skills, both written and verbal

Nice to have:

• Familiarity with equity or fixed income markets / financial market awareness

• Knowledge of KDB/Q

• Knowledge of Java

• Experience with visualization and dashboards.

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.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

We're committed to bringing passion and customer focus to the business.