OneMain Financial Jobs

Work Location:

Montréal, Quebec, Canada

Hours:

37.5

Line of Business:

TD Wealth

Pay Details:

80 000 $/$80,000 - 120 000 $/$120,000 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 candidate's 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 Canada’s 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 world's 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 95,000 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 (http://www.td.com/ca/en/about-td/who-we-are/benefits-of-working-at-td)

Additional Information:

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re 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 you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll 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 you’re 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.

We're 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 you’ve got everything you need to succeed in your new role.

Interview Process

We’ll 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 you’d 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):

Maîtrise d’une langue autre que le français pour offrir du soutien ou traiter avec des employés qui ont besoin de services et de soutien dans une langue autre que le français.

Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.