Associate - Quantitative Strategist - Toronto, Canada - TD Bank

TD Bank

Verified Company

Toronto, Canada

1 week ago

Posted by:

Sophia Lee

beBee Recruiter

Description

398412BR

Securities / Wholesale Banking

Toronto, ON

February 3, 2023

Company Overview

Department Overview

The Global Strategy team analyzes global market trends across different assets classes, aiming to provide actionable insight to clients and investors.

The team conducts research in global markets, using a range of economic, mathematical and statistical tools to prepare reports, generate ideas and discuss with clients and investors.

It also has a close working relationship with trading and sales to support their broader business needs. The group covers business lines in foreign exchange, commodity, emerging market and interest rate-related securities.

Job Description:

The specific tasks will include, but are not limited to, the following:

Designing, implementing, and supporting quantitative models across the global strategy team. These models include asset valuation models, macroeconomic forecasts, and trading signals that will be utilized to help aid in trading and sales flow and front-office business activities
Research and development of new macro trading signals.
To assist with the development and maintenance of codebase as required
Assist with development and testing of systematic backtesting/optimization engine.
Building world class tools that assist strategists and traders in making trading decisions.
Maintenance and monitoring of daily operational tools for building daily signals.
Supporting and facilitating the daily maintenance requirements in collaboration with other team members in order to expedite and enhance the turnaround time on the requirements for the market strategy group
Performing literature research in quantitative techniques, big data trends and broader market trends to ensure that models and techniques dovetail with current market standards
Liaising with internal sales and trading teams and external clients, including institutional investors, government organization and corporations, to provide market insight

Experiences/Responsibilities to be Gained

Honing research and robust coding development skills, adhering to best practices,
Exposure to a wide variety of quantitative tools and techniques.
Capital market research and analysis with potential for publication exposure. Access to internal clients, like sales and trading, and an immediate impact on the frontoffice business. These projects are a critical part of the global strategy business plan.
The incumbent is expected to gain experience writing code adhering to best practices.
Develop intuition about systematic trading.
Exposure to a wide variety of quantitative techniques
Be a versatile individual able to pivot between being a strong developer and world class researcher.

Skills to be Developed

Analytical Thinking
Business Growth and Development
Problem Resolution
Process Improvement
Product Innovation
Data Analytics
Expressive Communication
Managing for Results
Managing Technology
Market Insights
Results Focus

Requirements:

This role requires a versatile individual with strong research and software development skills (Proficiency in Python and strong experience with VBA, Excel and spreadsheetbased analysis
Technical: strong programming fundamentals (OOP and basic design patterns), statistics, machine learning (classical)
Problem solving and strong analytical / critical thinking skills + excellent communication skills.
Be ready to be a team player and want to make an impact to improve the efficiency of the team.
Machine learning experience is not required but another major plus; focus on data analysis and visualization techniques
Graduate degree in Computer Science, Mathematics, Engineering or Physics
Solid understanding of economic theory, principles and econometrics
Some experience with Bloomberg, Macrobond, Eviews, and/or Tableau preferred
Good team player with excellent mathematical, verbal and written communication skills
Ability to work in a fastpaced environment under strict deadlines
35 years' work experience in quantitative analysis, focusing on coding, data analysis, machine learning, back testing and/or econometrics
Prior buy or sellside experience preferred

Additional Information

LI-Hybrid

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.