TradingHub Engineer | Full Time | Remote | US Candidates Only

Are you an experienced Data Engineer with deep expertise in Capital Markets and hands-on TradingHub implementation?

Our premier US-based client in the financial sector is seeking a highly skilled TradingHub Engineer to join their technology team remotely. This critical role involves architecting, building, and maintaining the end-to-end data pipelines that power their trade surveillance and market abuse detection capabilities using the TradingHub platform.

This is a fantastic opportunity for an engineer to leverage their financial domain knowledge, technical prowess (Python/C#/SQL), and familiarity with regulatory compliance to deliver high-impact, real-time solutions.

Location: 100% Remote (US Client)

Duration: 243 days (Approx. 12 months)

Hours per Week: 40 hours

Pay Rate: USD $90.00 – $95.00/hr

Work Timings: Regular Flexible Hours (Aligned with GMT -0400 / US Eastern Time for core collaboration)

Visa Requirement: U.S. Citizen (USC) or Green Card Holder (GC)

As a TradingHub Engineer, you will be the technical expert responsible for the integrity and flow of trading data into the surveillance ecosystem:

• ETL Architecture: Design, develop, and maintain robust, performant ETL pipelines (Extract, Transform, Load) to aggregate large volumes of complex data from various internal and external financial market sources.
• TradingHub Configuration: Configure, integrate, and tune the TradingHub trade surveillance platform to ensure optimal data quality, completeness, and performance in line with client requirements.
• Domain Expertise: Apply deep capital markets knowledge across Equities, Fixed Income, FX, and Derivatives to ensure accurate data mapping, normalization, and transformation processes.
• Collaboration: Work closely with Compliance, Trading, and Risk teams to translate regulatory requirements into precise data flow logic, ensuring strict alignment with market abuse detection standards.
• Operational Excellence: Troubleshoot, resolve, and perform root cause analysis on data quality issues and production incidents, continually optimizing pipelines for speed and efficiency.
• Documentation: Create and maintain comprehensive technical documentation for all data pipelines, mappings, and platform configurations.

• Experience: 3+ years of experience in Data Engineering, ETL development, or similar roles within Financial Services or Capital Markets.
• Platform Expertise (Non-Negotiable): Hands-on, verifiable TradingHub trade surveillance implementation experience is mandatory.
• Programming: Strong proficiency in SQL and demonstrable expertise in Python or C# for data manipulation and scripting.
• Financial Knowledge: Deep, working understanding of market data, trading workflows, and regulatory concepts related to trade surveillance and market abuse detection.
• Data Technologies (Preferred): Experience utilizing high-volume databases such such as SQL Server or Oracle, and familiarity with Big Data platforms (e.g., Spark, Hadoop) is a plus.
• Soft Skills: Excellent analytical, problem-solving, and cross-functional communication skills.
• Education: Bachelor’s degree in Computer Science, Finance, or a related quantitative field.

TradingHub implementation, ETL development, Data Engineering, SQL, Python, C#, Capital Markets Data, Trade Surveillance, Financial Instruments (Equities, Fixed Income, FX, Derivatives), Data Quality, Data Pipeline Design, Regulatory Compliance.

How to Apply

Your may apply via LinkedIn or send your CV to [email protected]