Surveillance Analytics Data Engineer

Kaizen Technologies; Pittsburgh (Allegheny County); On-site; USD 140,000 - 190,000; Full time

Job summary

Kaizen Technologies seeks a Data Engineer focused on ETL, surveillance analytics, and marketing analytics in Pittsburgh. You will design data platform architectures, build end-to-end surveillance pipelines, and collaborate with Compliance and Product teams to deliver scalable, secure data solutions.

Responsibilities include leading onboarding of data sources, ensuring data quality, and supporting regulatory examinations while driving cloud-native modernization of the surveillance platform.

Qualifications

• ETL with Surveillance & Markets Engineering Analytics is required.
• Lead onboarding of surveillance use cases, data sources, and regulatory requirements.
• SME for market manipulation, insider trading, front running, spoofing, wash trading, and information barriers.
• Support model tuning, audits, regulatory examinations, and model validation.
• Design scalable pipelines and end-to-end architecture for surveillance data domains.
• Lead data source integration and optimize ETL/ELT for large-scale datasets.
• Drive cloud-native architecture and platform modernization for surveillance.
• Establish data governance controls, mappings, lineage, and traceability.
• Develop KPIs and dashboards; partner with analysts to improve alert quality.

Responsibilities

• Lead onboarding of surveillance data sources, venues, products, and data flows.
• Translate business and regulatory requirements into scalable data solutions.
• Serve as SME for market surveillance topics and regulatory knowledge.
• Support regulatory examinations, audits, and model validation.
• Design pipelines for order, execution, position, market, and employee data.
• Improve data quality, controls, traceability, and audit readiness.
• Collaborate with Product Owners, PMs, and cross-functional teams on roadmaps.

Skills

ETL with Surveillance

Data Platform Architecture

Markets Analytics

Tools

TradingHub

NICE Actimize

Nasdaq SMARTS

Behavox

SteelEye

ACA SIGMA

eFlow

Job description

Job Title : Data Engineer with ETL & Surveillance & Marketing Analytics

Location : Pittsburgh, PA - Local candidates are preferrable

Primary Skill : Data Platform Architecture Design, ETL, Snowflake Architecture

Experience : 15 years

Job Description : Surveillance Analytics Data Engineer

Job Requirements

• Skill: ETL with Surveillance & Markets Engineering Analytics


• Lead onboarding of surveillance use cases, venues, products, and data sources; translate business and regulatory requirements into scalable data solutions.


• Serve as SME for market manipulation, insider trading, front running, spoofing/layering, wash trading, employee trading, and information barrier monitoring.


• Support model tuning, calibration, effectiveness reviews, regulatory examinations, audits, and model validation.


• Design scalable pipelines and end-to-end architecture for order, execution, position, market, reference, employee, and communications data.


• Lead source integration and optimize ETL/ELT for large-scale surveillance datasets, ensuring performance, resiliency, stability, and scalability.


• Drive cloud-native architecture and surveillance platform modernization.


• Lead profiling, gap assessments, complex investigations, root cause analysis, reconciliation, trend analysis, and surveillance data validation.


• Establish controls and metrics for completeness, accuracy, timeliness, consistency, reconciliation, lineage, and traceability; maintain source-to-target mappings and business rules.


• Develop KPIs and monitoring dashboards; partner with analysts to improve alert quality and reduce false positives.


• Ensure enterprise data-governance compliance, audit readiness, regulatory reporting, and controls aligned with SEC, FINRA, FCA, CFTC, and global obligations.


• Partner with Product Owners and Program Managers on roadmaps and provide technical oversight across surveillance initiatives.

Experience:

• Surveillance & Markets Engineering Analytics: Hands-on implementation with TradingHub, NICE Actimize, Nasdaq SMARTS, Behavox, SteelEye, ACA SIGMA, eFlow, or an equivalent surveillance platform.


• Regulatory knowledge of SEC, FINRA, CFTC, FCA, MAR, MiFID II, and Dodd-Frank.


• Experience with AI/ML and large language model applications in Compliance and Surveillance, cloud-native architectures, and data observability platforms.


• Accelerate onboarding of data sources and surveillance scenarios while increasing coverage across products, markets, and business lines.


• Improve data quality, operational controls, traceability, lineage, audit readiness, and surveillance effectiveness; reduce defects and regulatory findings.


• Serve as the primary technical liaison across Compliance, Surveillance Operations, Product, Architecture, and Engineering.