Client is seeking a highly skilled Trade Surveillance Implementation & Data Engineer to support the integration, enhancement, and optimization of surveillance capabilities within a capital markets environment.
Requirements
- Hands-on experience with trade surveillance platforms such as NICE Actimize, Nasdaq Smarts, or Trading Hub.
- Strong understanding of trading and order lifecycle data, including market, execution, and transaction flows.
- Proven expertise in ETL development, data engineering, and large-scale data transformation.
- Proficiency in Python and Java for system integration and workflow development.
- Experience configuring or implementing surveillance models, rules, or alerting logic.
Responsibilities
- Lead the implementation, configuration, and enhancement of trade surveillance platforms to meet regulatory and business requirements.
- Integrate vendor surveillance systems with internal trading, order management, and reference data environments.
- Design and build robust ETL pipelines to process high-volume securities and commodities trading datasets.
- Develop data transformation logic to support alerts, analytics, and model tuning.
- Troubleshoot data quality issues, integration challenges, and performance bottlenecks across the surveillance ecosystem.
- Develop high-quality, scalable code and tools using Python and Java, following established engineering standards.
- Support the full lifecycle of surveillance enhancements, including requirements, development, testing, deployment, and validation.
Other
- 6-9 years of experience in capital markets technology with exposure to securities and commodities trading data.
- Collaborate closely with compliance, technology, and business stakeholders to translate surveillance needs into technical solutions.
- Ability to work effectively within a fully remote, distributed team environment.
- Strong analytical thinking, communication skills, and attention to detail.
