Job Title: Trade Surveillance Implementation & Data Engineer
Location: New York New York 10112
Position Type: Remote Contract
Primary Skills: Trade Surveillance Implementation Trade Surveillance Development Actimize Nasdaq Smarts Trading Hub ETL Data Transformation Python Java Capital Markets Securities Trading Data Commodities Trading Data OMS Trading & Order Lifecycle Data Data Integration
Position Summary
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. This role involves hands-on work with vendor surveillance platforms complex trading data and the engineering of scalable ETL and data transformation solutions. The ideal candidate will possess deep technical expertise in Python Java and surveillance system implementation along with strong analytical and problem-solving abilities.
Key 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.
Collaborate closely with compliance technology and business stakeholders to translate surveillance needs into technical solutions.
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.
Requirements
6-9 years of experience in capital markets technology with exposure to securities and commodities trading data.
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.
Ability to work effectively within a fully remote distributed team environment.
Strong analytical thinking communication skills and attention to detail.
Required Skills:
TESTINGDEEP TECHNICALDATA TRANSFORMATIONTRADETRADINGJAVAPYTHONORDER LIFECYCLE
Job Title: Trade Surveillance Implementation & Data EngineerLocation: New York New York 10112Position Type: Remote ContractPrimary Skills: Trade Surveillance Implementation Trade Surveillance Development Actimize Nasdaq Smarts Trading Hub ETL Data Transformation Python Java Capital Markets Securiti...
Job Title: Trade Surveillance Implementation & Data Engineer
Location: New York New York 10112
Position Type: Remote Contract
Primary Skills: Trade Surveillance Implementation Trade Surveillance Development Actimize Nasdaq Smarts Trading Hub ETL Data Transformation Python Java Capital Markets Securities Trading Data Commodities Trading Data OMS Trading & Order Lifecycle Data Data Integration
Position Summary
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. This role involves hands-on work with vendor surveillance platforms complex trading data and the engineering of scalable ETL and data transformation solutions. The ideal candidate will possess deep technical expertise in Python Java and surveillance system implementation along with strong analytical and problem-solving abilities.
Key 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.
Collaborate closely with compliance technology and business stakeholders to translate surveillance needs into technical solutions.
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.
Requirements
6-9 years of experience in capital markets technology with exposure to securities and commodities trading data.
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.
Ability to work effectively within a fully remote distributed team environment.
Strong analytical thinking communication skills and attention to detail.
Required Skills:
TESTINGDEEP TECHNICALDATA TRANSFORMATIONTRADETRADINGJAVAPYTHONORDER LIFECYCLE
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