TradingHub Engineer

The TradingHub Engineer will be responsible for designing, building, and maintaining end-to-end data pipelines that deliver large, complex capital markets data into the TradingHub trade surveillance platform. This position requires deep ETL and data management expertise, strong SQL and Python (or C#) skills, and hands-on experience working with financial market data across multiple asset classes. The engineer will work closely with compliance, trading, and technology teams to ensure accurate, timely, and regulatory-compliant data flows supporting market abuse detection and surveillance analytics.

Key Responsibilities

• Design, develop, and maintain robust ETL pipelines to ingest and process data from multiple internal and external sources into the TradingHub platform.
• Configure, integrate, and optimize the TradingHub surveillance platform, ensuring data quality, completeness, and performance.
• Apply deep capital markets knowledge across equities, fixed income, FX, and derivatives to support accurate data mapping and transformation.
• Collaborate cross-functionally with compliance, trading, and risk teams to align data management and surveillance workflows with regulatory standards.
• Investigate, troubleshoot, and resolve data quality and integration issues, performing root cause analysis for production incidents.
• Develop and maintain technical documentation for data pipelines, mappings, and platform configurations.
• Drive continuous improvement initiatives through automation, performance tuning, and adoption of modern data management frameworks.

Required Qualifications

• Experience: Minimum 3+ years in data engineering, ETL development, or related roles within financial services or capital markets.
• TradingHub Expertise: Proven hands-on experience in TradingHub trade surveillance platform implementation.
• Technical Skills:
• Strong SQL and Python (or C#) programming skills.
• Experience with ETL tools, data pipeline orchestration, and workflow automation.
• Capital Markets Knowledge: Deep understanding of market data, trading workflows, and trade lifecycle across equities, fixed income, FX, and derivatives.
• Databases & Big Data: Experience with SQL Server, Oracle, or big data platforms such as Spark or Hadoop.
• Regulatory Awareness: Familiarity with market abuse surveillance, trade reconstruction, and regulatory reporting frameworks.
• Soft Skills: Strong analytical, problem-solving, and communication abilities with an aptitude for collaboration across multiple teams.

Education

• Bachelor's degree in Computer Science, Finance, Engineering, or a related field is required.
• Advanced degree (Master's) preferred.

Job Types: Full-time, Contract

Pay: $ $95.00 per hour

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

Work Location: Remote