Senior IT Developer

TD•Toronto, ON

2d•Onsite

About The Position

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. We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day. The Java Developer / Data Engineer will join the Compliance, Surveillance & Supervision Product Technology team, which delivers technology solutions supporting the Compliance, Surveillance, and Supervision product group. The team works with both internally developed platforms and vendor solutions, including NICE Actimize, SMART, and Trading Hub. Solutions delivered by the team must satisfy regulatory, compliance, internal audit, technology risk management, and information security obligations applicable to TD Securities. This role will be responsible for the design, implementation, and integration of tools and technologies used across the Compliance, Surveillance, and Supervision domain. The successful candidate will help integrate upstream bank systems with core surveillance platforms and will build robust, scalable, and maintainable data pipelines and analytics engines.

Requirements

At least 3 years of related experience
Strong Core Java experience, with some Python exposure
Proven ability to build, unit test, deliver, and productionize scalable distributed systems
Solid understanding of data storage, ETL, and modern data engineering patterns
Experience with big data processing frameworks, including Apache Spark
Hands-on experience with cloud data lakes, relational databases, and big data platforms such as Databricks and Hadoop
Ability to work with large data sets in both batch-oriented and near-real-time environments
Experience integrating enterprise systems with vendor applications
Understanding of messaging systems and integration patterns, including Solace and Kafka
Familiarity with Capital Markets asset classes and products
Understanding of compliance concepts, including AML, trade surveillance, and payments surveillance
Experience designing and building surveillance data models

Nice To Haves

Implementation experience with vendor surveillance platforms, such as NICE Actimize
Understanding of workflow engines
Familiarity with DevOps tools and Agile delivery methodology

Responsibilities

Design, implementation, and integration of tools and technologies used across the Compliance, Surveillance, and Supervision domain.
Integrate upstream bank systems with core surveillance platforms.
Build robust, scalable, and maintainable data pipelines and analytics engines.