Quantitative Portfolio Analyst

7 months ago

Toronto, Canada Scotiabank Full time

Requisition ID: 172396

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

**1832 Asset Management L.P.**

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 $100 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.

**Portfolio Analyst, Quant & Derivatives Team**

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

- Partner with a Quantitative & Derivatives Portfolio Manager for gathering, processing and analyzing data to be used in constructing multi-factor quantitative investing models using traditional quant techniques as well as machine-learning quant techniques;
- Maintain and enhance the team’s current quantitative investment infrastructure
- Create new machine-learning-based quant models for stock selection, portfolio construction and optimization

**Key Accountabilities**

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

- Engage in research, development and analysis of quantitative systematic stock selection and portfolio optimization strategies using traditional factor based models and machine learning
- Perform statistical analysis of historical and current financial market data.
- Research strategies to be used in U.S. and global equities and equity derivatives
- Explore new data sets and generate ideas for new signals
- Contribute to the development and progression of our quantitative investment platform

**Desired Skills & Experience**

A successful Portfolio Analyst will possess the following skills and experience:

- 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
- Must have experience using Bloomberg BQNT
- Experience with Google cloud platform a plus
- Financial experience a plus but not required
- Extremely strong problem solving skills

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.

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