Technology Solutions Pay Details: $126,800 - $164,100 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. 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.

Department

Overview TD Securities provides a wide range of capital market products and services to corporate, government and institutional clients who choose us for our knowledge and experience in six key areas of finance: Investment Banking, Debt Capital Markets, Institutional Equities, Private Equity, Precious Metals and Foreign Exchange & Money Market. Our services include the underwriting and distribution of new debt and equity issues, providing advice on strategic acquisitions and divestitures, and executing daily trading and investment needs. 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.

We are growth-oriented, people-focused, and community-minded.

The Counterparty Credit

Risk group at TD Securities is seeking experienced Data Engineers to build the next generation of risk computation platforms. The core mission of the applications we build is to help the firm quantify, understand, and reduce our external total exposure in case of adverse market conditions. We operate within a modern and complex area of finance, operating with sophisticated computational models, supporting billions of calculations daily and leveraging Big Data storage for analytics and data distribution.

As a Senior Data Engineer in the XVA and CCR data development team, you will be responsible for designing, building, and maintaining scalable data pipelines that power our analytics and data-driven applications. You will work closely with cross-functional teams to deliver high-quality data solutions and ensure the integrity and availability of our data platforms. Design and develop distributed data processing systems using Scala, Python and Apache Spark.

Build and optimize large-scale data pipelines for batch and streaming data using Spark. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Maintain a real-time data processing solution build on Scala , Spark , pyspark and Akka/Pekko framework.

Develop and maintain ETL processes to transform and integrate data from various sources.

Experience supporting Credit Risk, Counterparty Credit Risk (CCR), XVA, or Regulatory Reporting data platforms. Hands-on experience with Databricks Unity Catalog, data lineage,



data classification, and access governance frameworks. Understanding of FpML, financial product modeling, and Capital Markets reference data standards.

Ensure data quality, reliability, and integrity through automated testing and monitoring. Work with DevOps teams to deploy and manage CI/DC and data pipelines in a cloud environment. Optimize and tune Spark jobs for performance and scalability.

Stay up-to-date with the latest technologies and best practices in data engineering. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. ~5+ years of experience in data engineering with a strong focus on Python, Scala and Spark. ~ Strong understanding of data warehousing and data modeling concepts and ETL processes. ~ Hands-on experience with cloud data platforms like Azure ADLS, Azure Databricks and Dremio. ~ Hands-on Experience with big data technologies such as Hadoop, Kafka, Hive and HBase. ~ Hands-on experience with the Akka/Pekko framework for building distributed systems. ~ Understanding of data communication protocol like REST and GRPC. ~ Proficiency in SQL and experience with relational and NoSQL databases. ~ Proficiency with C# for excel addins.

Experience with CI/CD pipelines and infrastructure as code (IaaC). Knowledge of data governance and security best practices. Familiarity with machine learning and data science workflows. Non-Technical Skills: Demonstrable experience working in a fast-paced environment, and supportive of flexible goals aligned with business priorities Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.

Communicate and collaborate with both technical and non-technical professionals. Cultivate winning relationships by building trust with business and technology partners. 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.

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 advantages, savings and retirement programs,



paid time off, banking benefits and discounts, career development, and reward and recognition programs. 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.

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

We do our best to communicate outcomes to all applicants by email or phone call. 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.

Language

Requirement (Quebec only): At TD we’re guided by our purpose to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

Our Commitment to Diversity, Equity, and Inclusion At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve. Helping to Make an Impact in Communities – TD Ready Commitment TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future.

Under the TD Ready Commitment, we are targeting a total of C$1 billion by 2030 in community giving across four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

📌 Senior Data Engineer :Scala, Spark, Python, Hadoop, Databricks (Toronto)
🏢 The Toronto-Dominion Bank (Canada)
📍 Toronto