Title:  AIQ Investment Analyst - 1832 Asset Management

Requisition ID: 252976 

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

1832 Asset Management L.P. is one of Canada’s largest asset managers and offers a comprehensive range of solutions through Dynamic Funds and ScotiaFunds, spanning every major sector, geographic region and investment discipline. The firm and its predecessor companies have been providing asset management services in Canada since 1877, as a manager of mutual funds and providing investment solutions for private clients, institutions, foundations, endowments and managed asset programs.

Today, the firm has over $223 billion in assets under management, and its experienced investment management team is active across capital markets and asset classes, deploying traditional and innovative strategies driven to deliver investment management excellence for our clients across our domestic and international businesses.

1832 Asset Management L.P. is a limited partnership, the general partner of which is wholly owned by Scotiabank.

Is this role right for you?

As a member of our AI & Quantitative Research team at 1832 Asset Management L.P., the Quantitative Analyst, you will have the opportunity to:

- Support investment teams across Scotia Global Asset management with customized analytics and quantitative strategies to enhance investment and portfolio management decisions

-Help build and enhance the necessary data repositories for research and implementation of quantitative models and applications on a cloud-based architecture

-  Help build and enhance internal generative AI applications for use by investment professionals, including prompt engineering and design

- Engage with a variety of third-party vendors on potential and existing AI and Quantitative investment tools

In this role, you will:

- Maintain and enhance the team’s current AI & quantitative investment infrastructure:

- Engage in research, development and analysis of quantitative investment strategies using traditional factor-based models and machine learning

- Research investment strategies to be used across asset classes

- Explore new data sets and generate ideas for new signals

- Contribute to the development and progress of our generative AI applications suite

Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if have:

- Background degree in Mathematics, Engineering, Computer Science, Physical Sciences preferred

- Graduate degree including MBA, Master of Finance, or other graduate degree in Math, Computer Science & Engineering would be an asset

- Familiarity with both the practical implementation and theory of various machine learning algorithms

- Advanced knowledge in Python and SQL and working with large data sets

- Experience using Bloomberg BQNT is an asset

- Experience with Google cloud platform a plus

- Financial experience a plus but not required

- Extremely strong problem solving skill

Location(s):  Canada : Ontario : Toronto 

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.