Analyst, Portfolio Research Data Engineer – TD Asset Management

TD Bank

Not Interested
Bookmark
Report This Job

profile Job Location:

Toronto - Canada

profile Monthly Salary: $ 80000 - 120000
Posted on: 12 hours ago
Vacancies: 1 Vacancy

Job Summary

Work Location:

Toronto Ontario Canada

Hours:

37.5

Line of Business:

TD Wealth

Pay Details:

$80000 - $120000 CAD

This role is eligible for a discretionary variable compensation award that considers business and individual performance.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidates skills and experience job-related knowledge geographic location and other specific business and organizational needs.

As a candidate you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

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 September 30 2025 TDAM and its affiliates manage over $500 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 Canadas largest and most respected investment management and research teams with more than 220 Portfolio Managers Associate Portfolio Managers Traders and Analysts.

Job Summary

We are seeking a highly skilled Data Engineer with strong Python expertise and deep experience of building scalable cloud-based data pipelines. The ideal candidate will have hands-on experience designing implementing and maintaining modern data platforms as well aa migrating on-premises SQL Server workloads to cloud environments. This role requires a strong understanding of data architecture automation and reliable data delivery practices to support analytics and business intelligence initiatives.

Key Responsibilities

  • Design develop and maintain robust scalable data pipelines using Python and modern data engineering practices
  • Build and optimize cloud-native data solutions on platforms such as Azure AWS or GCP
  • Develop automated ETL/ELT workflows for structured and semi-structured data sources
  • Ensure data quality integrity monitoring and operational reliability across pipelines
  • Collaborate with researchers and portfolio managers to deliver high-quality datasets
  • Optimize performance cost efficiency and scalability of cloud data infrastructure
  • Maintain documentation and enforce best practices in data engineering and DevOps processes

Required Qualifications

  • Strong proficiency in Python for data engineering and automation
  • Proven experience building cloud-based data pipelines in Azure AWS or GCP
  • Solid knowledge of SQL relational database design and query optimization
  • Familiarity with data warehousing concepts and modern data architecture
  • Experience working with APIs batch and streaming data ingestion
  • Strong problem-solving skills and ability to work independently

Preferred Qualifications

  • Experience with Azure Data Factory Synapse Snowflake and Databricks.
  • Experience with event-driven or real-time data processing
  • Experience working with financial datasets including equities market data pricing feeds or portfolio/transaction data
  • Understanding of asset management and capital markets concepts including securities benchmarks and portfolio data is considered an asset.
  • Familiarity with indexing data and quantitative datasets used in systematic or factor-based investment processes is a plus.
  • Familiarity with data governance security and compliance best practices
  • Exposure to machine learning data pipelines
  • Experience with migrations from on-premises SQL server databases to cloud platforms.

Soft skills

  • Strong communication and collaboration skills
  • Ability to work in a fast-paced environment
  • Proactive problem-solving mindset
  • Detail-oriented with strong ownership mentality

Who We Are:

TD is one of the worlds leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day we strive to make every interaction product and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada the United States and around the world. More than 95000 TD colleagues bring their skills talent and creativity to foster deeper relationships ensure disciplined execution and build a simpler faster banking experience. TD is deeply committed to being a leader in client experience that is why we believe that all colleagues no matter where they work are client facing. Together we are reimagining what banking can be for our clients colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial physical and mental well-being goals. Total Rewards at TD includes a base salary variable compensation and several other key plans such as health and well-being benefits savings and retirement programs paid time off banking benefits and discounts career development and reward and recognition programs. Learn more

Additional Information:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations requirements.


Colleague Development

If youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll have regular career development and performance conversations with your manager as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If youre passionate about helping clients and building deep lasting relationships TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

Were committed to your success and foster a respectful workplace where diverse perspectives are valued everyone has fair opportunities to grow and you can unlock your full potential to achieve your career goals. Here at TD we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.

Interview Process
Well reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if youd like accommodations (including accessible meeting rooms captioning for virtual interviews etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

Required Experience:

IC

Work Location:Toronto Ontario CanadaHours:37.5Line of Business:TD WealthPay Details:$80000 - $120000 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance.TD is committed to providing fair and equitable compensation opportunities ...
View more view more

Key Skills

  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Data Visualization
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics

About Company

Company Logo

Choose platform to search for TD Jobs

View Profile View Profile