Work Location:
New York, New York, United States of America
Hours:
40
Line of Business:
Technology Solutions
Pay Detail:
$105,000 - $155,000 USD
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:
Preferred Qualifications
Business Context
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.
Position Overview
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.
Key Requirements
Business Knowledge
• 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
Technical Knowledge and Hands-on Experience
• 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
Nice to Have
• Implementation experience with vendor surveillance platforms, such as NICE Actimize
• Understanding of workflow engines
• Familiarity with DevOps tools and Agile delivery methodology
