Overview
Remote
$85 - $85
Contract - W2
Contract - 6 Month(s)
No Travel Required
Skills
Trade Surveillance
Java
Python
Capital Market
Job Details
Title: Trade Surveillance Implementation & Data Engineer
Location: 100% Remote ( Eastern Time )
Duration: 6-12+ Months
VISA: U.S. Citizens and s due to legal or government contract requirements
Tax Term: W2
JD:
Summary:
The Trade Surveillance Implementation & Data Engineer will play a key role in designing, integrating, and enhancing surveillance capabilities within a capital markets environment. This role requires hands-on expertise with trade surveillance platforms, complex trading and order lifecycle data, and the engineering of scalable data transformation processes. The ideal candidate will bring deep experience in the development, configuration, and implementation of vendor surveillance systems, along with strong technical proficiency in Python, Java, and ETL frameworks.
Responsibilities:
- Lead the implementation, configuration, and enhancement of trade surveillance solutions to support regulatory and operational requirements.
- Integrate vendor surveillance systems with internal trading, order management, and reference data platforms.
- Design and develop ETL pipelines for processing large-scale securities and commodities trading datasets.
- Engineer data transformations to support alerts, analytics, and surveillance model calibration.
- Collaborate with compliance, technology, and business teams to understand surveillance needs and translate them into technical solutions.
- Troubleshoot data quality issues, system integrations, and performance bottlenecks across the surveillance ecosystem.
- Develop high-quality code and tools using Python and Java in alignment with engineering best practices and governance standards.
- Support the end-to-end lifecycle of trade surveillance enhancements from requirements gathering through deployment and validation.
Requirements:
- 6 9 years of experience in capital markets technology, specifically with securities and commodities trading data.
- Hands-on experience with trade surveillance systems (e.g., NICE Actimize, Nasdaq Smarts, Trading Hub).
- Strong understanding of trading and order lifecycle data, including market, execution, and transaction flows.
- Proven experience in ETL development, data integration, and high-volume data transformation.
- Proficiency in Python and Java for engineering workflows and system integrations.
- Experience implementing or configuring surveillance models, rules, or alert logic within vendor platforms.
- Ability to operate effectively in a remote environment with distributed teams.
- Strong analytical, problem-solving, and communication skills with a focus on accuracy and attention to detail.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.