JOB DESCRIPTION:

TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience.
With more than 6,500 professionals operating out of 40 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment bank.
We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day.
The mission of the eTrading Data Engineering, Analytics and Innovation team is to develop, own and promote the tools, practices and datasets to needed to drive data-driven insights and efficiencies across the business.
The experienced data and analytics lead will need to demonstrate the ability to learn on the job, be adaptable in a dynamic work environment, while performing the job function at a high-level and be able to own, manage and communicate your priorities effectively. This is a truly varied, hands-on role requiring the successful candidate to be comfortable switching from individual project work, to driving discussions and communication with key stakeholders to supporting the immediate and wider team as necessary.

The objectives of the role will include:

• Establish and maintain strong in-person working relationships and presence with key internal and external stakeholders and business partners. Be the go-to person in-region. This is very much an in-office role.
• Hands-on Data Product Owner: you will be responsible in helping us define, design, drive and implement the data solutions for the business.
• Build common agnostic libraries and data patterns across markets. This is a cross-asset role covering Global Foreign Exchange, Fixed Income Markets as well as Commodities.
• Own, support and contribute to the planning, communication, design, and implementation of key business deliverables.
• Conduct critical analysis of current system and workflows using the results to draw conclusions and make recommendations.
• Manage, support, and improve critical data pipelines and reporting solutions directly supporting the business lines.
• Contribute and expand our data and quant framework; including developing tools to load, process, clean, query, analyse and visualise data.
• Evolve our reporting and forecasting tools and dashboards as required by the business and management.
• Work closely with and interact with the front office sales and trading desks, to understand business requirements.
• Perform data profiling using TD tooling and ad-hoc system query languages to validate data analysis.
• Collaborate across business lines, functional partners (IT, Risk, Operations), external vendors as well as the business SME.
• Ensure data governance and security guidelines are adhered to.
• Demonstrate and promote best practices; seek to continually evolve and improve our workflows, tooling, and development practices and environment.
• Contribute to the skills and capabilities of the overall team via mentoring, reviews and knowledge-sharing.
• Simplify and streamline existing workflows and processes through innovation, tooling and automation.

KEY QUALIFICATIONS / SKILLS / EXPERIENCE

• Minimum 5 years’ experience working in a relevant engineering, statistical or financial role
• Knowledge of capital markets, preferably in eTrading else similar financial, operational or regulatory data lifecycles and system workflows
• Experience in framework, library and API design
• Strong Python, R and modern programming language experience
• Working knowledge of pandas and numpy
• Effective SQL and RDBMS knowledge
• Proficiency working with and cleaning data, including data-scraping, and dealing with streaming and time series data sets.
• Visualization libraries (plotly, seaborn, matplotlib), dashboarding using Plotly Dash or Shiny
• Understanding of test-driven development, tools, and practices
• Experience with data modelling, schema design and evolution
• Experience coding ETL pipelines and orchestration workflows
• Experience in analysis and design patterns and soft engineering best practices
• Practitioner of agile methodologies, continuous integration and delivery tools and practices
• Understanding of Big Data principles, design, and techniques
• Understanding of current and emerging technology and trends in the data and analytics space
• Passion for engineering and intuitive and visual design
• Linux and shell-scripting experience

DESIRABLE SKILLS / EXPERIENCE

• Prior project experience in Client Analysis, Transaction Cost Analysis, Market Data Analysis, PnL reporting or Marketing Analysis a plus
• Knowledge of HDFS and Spark
• DevOp tools and techniques
• Business Intelligence tools
• Tick database knowledge KDB, OneTick
• Knowledge of eTrading, books of record vendor system object model i.e. ION, Murex, Broadway
• NoSQL, OLAP, OLTP database
• JavaScript, web development
• Cloud experience
  

  Li-Hybrid

WHO WE ARE

TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience. With more than 6,500 professionals operating out of 40 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment bank. We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day.

• Establish and maintain strong in-person working relationships and presence with key internal and external stakeholders and business partners. Be the go-to person in-region. This is very much an in-office role.
• Hands-on Data Product Owner: you will be responsible in helping us define, design, drive and implement the data solutions for the business.
• Build common agnostic libraries and data patterns across markets. This is a cross-asset role covering Global Foreign Exchange, Fixed Income Markets as well as Commodities.
• Own, support and contribute to the planning, communication, design, and implementation of key business deliverables.
• Conduct critical analysis of current system and workflows using the results to draw conclusions and make recommendations.
• Manage, support, and improve critical data pipelines and reporting solutions directly supporting the business lines.
• Contribute and expand our data and quant framework; including developing tools to load, process, clean, query, analyse and visualise data.
• Evolve our reporting and forecasting tools and dashboards as required by the business and management.
• Work closely with and interact with the front office sales and trading desks, to understand business requirements.
• Perform data profiling using TD tooling and ad-hoc system query languages to validate data analysis.
• Collaborate across business lines, functional partners (IT, Risk, Operations), external vendors as well as the business SME.
• Ensure data governance and security guidelines are adhered to.
• Demonstrate and promote best practices; seek to continually evolve and improve our workflows, tooling, and development practices and environment.
• Contribute to the skills and capabilities of the overall team via mentoring, reviews and knowledge-sharing.
• Simplify and streamline existing workflows and processes through innovation, tooling and automation