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TD

Associate, Quantitative Equities Team - TD Asset Management

TD
Location
Montreal, QC
Details
Full Time
4 days ago
Company Overview

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Department Overview
TD Asset Management (TDAM), a member of TD Bank Financial Group, is a leading North American investment manager offering progressive investment solutions to both institutional and individual investors. For over two decades, the organization has established competitive market positions in active, quantitative, and passive portfolio management. As of June 30, 2022, TDAM and its affiliates manage over $398 billion in assets on behalf of pension, insurance, endowment/foundation, and corporate clients, as well as high-net worth clients and retail mutual funds.

In attaining this client commitment, TDAM has built one of Canada's largest and most respected investment management and research teams with more than 220 Portfolio Managers, Associate Portfolio Managers, Traders and Analysts.

Job Description
The candidate will work on Research and Development of quantitative models using various techniques: from advanced machine learning to traditional statistical methods. Located in Montreal or Toronto, as part of the Quantitative Equities Team, the candidate will:
  • Apply specialized skills and fundamental data science methods such as predictive modeling, time series forecast or deep learning, to build risk and return forecasting models used to manage equity portfolios. Ensure models are properly documented, tested, and vetted as per regulatory and audit requirements.
  • Participate in the management of TDAM's Quantitative Equity mandates.
  • Design, prototype, test, and document enhancements to the existing forecasting models.
  • Support the client portfolio management and relationship management teams for ad-hoc analysis.
  • Continuously evaluate relevance of forecasting models and research for the current product mix and market conditions.
  • Stay on top of economic and market conditions impacting the portfolios.
  • Closely monitor and understand each strategy's intended and unintended risks, and the underlying drivers of their P&L.
  • Review, understand and vet changes in model preferences over time.
  • Work closely with TDAM's data, quantitative research, portfolio management and risk management teams to evaluate and monitor the impact of various strategies.
  • Coordinate with internal partners in the technology and business analyst teams to specify requirements for improvements to upstream systems needed by our team.
  • Test and validate applications on the quantitative equity portfolio management system.

#LI-Hybrid

Requirements
We are looking for a candidate with a strong technical and quantitative expertise to join a dynamic team of investment professionals. We are looking for someone with proven quantitative skills, a propensity for teamwork, and a demonstrated ability to communicate effectively.
The ideal candidate will have the following:
  • 2+ years of experience in Data science or quantitative research applied in finance
  • Excellent theoretical knowledge and practical skills using machine learning algorithms, NLP, deep learning and statistics
  • Programming proficiency in Python, MATLAB, R and related packages (Pandas, scikit-learn, Keras, TensorFlow, Pytorch etc.)
  • Knowledge of writing queries to extract and transform data from a SQL server
  • Strong data science, mathematics, or statistics background, with practical knowledge of time series analysis, factor analysis, optimization theory and statistical learning theory
  • Published research if applicable


Additional Information
Educational Requirements
  • Graduate degree (Master or Ph.D.) in Data science, Statistics, Mathematics, Finance, Economics or a technical field such as Physics or Engineering
  • CFA designation or working towards obtaining it is an asset


Hours
37.5

Inclusiveness

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
Category
Management and Executive