Associate, Quant Strategist in England

Part of Global Research, the Global Strategy team is a FICC-focused markets research group that analyzes global macroeconomic and market trends across rates, foreign exchange, commodities and emerging markets, delivering actionable investment insight to clients and investors. The team applies economic, quantitative and statistical frameworks to generate trade ideas, publish strategy research and engage directly with clients. Working closely with Sales and Trading, Global Strategy supports front-office decision-making across interest-rate-, FX- and commodity-linked securities.

The Research Engagement and Quantitative Innovation team is a front-office strategy and product function within Global Strategy. Responsible for setting direction and driving commercialization of the low-touch/electronic strategy. The team originates and scales quantitative strategy products, defines how strategy is distributed to clients, and leads the build-out of analytics and platforms that directly support revenue generation and client franchise growth. Working in close partnership with Analysts, Sales, Trading and Technology, the team turns strategy views and models into investable signals, client-facing tools and platforms shaping both content and delivery to embed Global Strategy into client workflows and drive external adoption.

The Research Engagement and Quantitative Innovation team is seeking to hire a non-publishing Quantitative Researcher / Strategist to provide direct support to several front office quantitative financial market and client analytics projects.

Specific Responsibilities:

• Building world class tools that assist strategists and traders in making trading decisions.
• 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.
• Contributing to research publications based on insights derived from the above analytics.
• Assisting with the development and maintenance of codebase as required.
• Performing literature research in quantitative techniques, big data trends and broader market trends to ensure that models and techniques dovetail with current market standards.
• Partnering with Quant Innovation leadership, Sales, Trading, Technology and key stakeholders to shape data-driven strategy solutions, translating business needs into scalable analytics and client-ready insights.
• Using Machine Learning to combine research, trade and financial model data to extract trade opportunities to communicate to sales.
• Further developing advanced Python/SQL ETL's and data ingested through the chosen vendors API to improve computation capabilities within the current SQL Database producing a seamless output onto Tableau.
• Designing, building and automating advanced dashboards, analytics and reporting solutions (e.g. Plotly/Tableau), owning data analysis, visualization standards and end-to-end delivery in collaboration with IT and BI teams.
• Leading complex data analysis across multiple internal and external data sources, identifying patterns, data quality issues and opportunities to improve models, structures and governance aligned to the firm's single source of truth.
• Driving automation of manual strategy workflows and deploying analytics, models and outputs into cloud environments to increase productivity and accelerate insight delivery.
• Identifying underlying data patterns, structures and issues through comprehensive data analysis.
• Liaising with internal sales and trading teams and external clients, including institutional investors, government organizations and corporations, to provide market insight.

Skills Required:

• This role requires a versatile individual with strong research and software development skills (Proficiency in Python and strong experience with VBA, Excel and spreadsheet-based 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 required with a focus on data analysis and visualization techniques.
• Graduate degree in Computer Science, Mathematics, Engineering or Physics.
• Some experience with Bloomberg, Macrobond, Plotly and/or Tableau preferred.
• Good team player with excellent mathematical, verbal and written communication skills.
• Ability to work in a fast-paced environment under strict deadlines.
• 2-3 years' work experience in quantitative analysis, focusing on coding, data analysis, machine learning, back testing and/or econometrics.
• Prior buy or sell-side experience preferred.

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.