Capital Markets ETL & Trade Surveillance Engineer - Operate

The Capital Markets ETL & Trade Surveillance Engineer is a key technical expert responsible for designing, building, and maintaining the data pipelines that feed high-volume, complex capital markets data into the TradingHub trade surveillance platform for a leading global financial institution. This long-term staff augmentation role requires a deep understanding of ETL processes, financial market data across various asset classes, and regulatory compliance requirements. The engineer will work closely with compliance officers, quantitative analysts, and other technology teams to ensure data accuracy, completeness, and timeliness for effective market abuse detection.

Key Responsibilities
• ETL Pipeline Development: Design, build, and maintain robust and scalable data ingestion pipelines (ETL) to extract, transform, and load trading and market data into the TradingHub platform from various source systems.
• TradingHub Platform Integration: Configure and integrate the TradingHub platform, ensuring seamless data flow and optimal performance of surveillance models and custom controls.
• Capital Markets Data Expertise: Apply a deep understanding of financial markets, including equities, fixed income, FX, and derivatives, to ensure accurate data mapping and transformation.
• Data Quality and Governance: Implement a strategic data quality framework to validate and monitor the completeness and accuracy of trading data, addressing any issues to prevent false positives in surveillance alerts.
• System Enhancement and Performance Tuning: Collaborate with technology and business stakeholders to enhance data pipelines and system performance, introducing automation and advanced analytics where appropriate.
• Troubleshooting and Support: Investigate and resolve complex data-related issues, perform root cause analysis, and provide technical support for production systems.
• Stakeholder Collaboration: Work cross-functionally with compliance, trading, risk, and other technology teams to continuously improve data flows and overall surveillance effectiveness.
• Documentation: Create and maintain technical documentation related to data mapping, data lineage, and ETL processes.

This is your opportunity to work in Operate at Deloitte. Operate services harness the latest technologies, talent, and capabilities from all over the world to deliver ongoing outcomes and client value. We do more than traditional business process outsourcing. We do more than just “keeping the lights on.” We work shoulder-to-shoulder with clients and their customers, constantly adapting to the pace of change, to ideate, innovate, and embed continuous advantage at the heart of their operations. And we do it with the kind of drive and passion that comes from loving what you do-and who you do it with.

Required Skills and Qualifications
• Experience: Proven experience in a data engineering or ETL development role, preferably within a financial services or capital markets environment.
• Capital Markets Knowledge: Strong understanding of financial instruments, market data concepts, and capital markets trading practices.
• ETL Expertise: Hands-on experience with designing, implementing, and optimizing complex ETL processes for large-scale data sets.
• Programming/Scripting: Proficiency in SQL and scripting languages like Python or C# is essential.
• Database and Big Data: Experience with databases (e.g., SQL Server, Oracle) and big data technologies (e.g., Spark, Hadoop) is highly desirable.
• Surveillance Systems: Familiarity with trade surveillance systems and platforms like TradingHub, Actimize, or SMARTS is a significant advantage.
• Problem-Solving Skills: Excellent analytical and problem-solving skills to effectively troubleshoot and resolve complex data and production issues.
• Communication: Strong verbal and written communication skills to articulate technical concepts and findings to a range of stakeholders.
• Regulatory Knowledge: An understanding of financial regulations such as market abuse and other regulatory reporting requirements.
• A Bachelor's degree in Computer Science, Finance, or a related field

The salary range for this position is $84,000 - $175,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.