Regulatory Reporting Engineer

Citadel Securities; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

Citadel Securities seeks a Regulatory Reporting Engineer to design and build technology solutions for global transaction reporting. In this role, you'll develop scalable data pipelines and applications, partnering with Engineering, Compliance, and Operations.

Applicants should have a Bachelor's degree in Computer Science or related field and strong software development skills in Python and SQL. This position offers opportunities to innovate within regulatory technology and improve reporting infrastructure.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Strong professional experience developing software in Python.
• Strong SQL and relational database expertise.

Responsibilities

• Design, develop, test, and deploy scalable regulatory reporting applications.
• Build solutions modeling complex trading workflows and business processes.
• Support full software development lifecycle, including production monitoring.

Skills

Software development in Python

SQL and relational database expertise

Analytical and problem-solving skills

Communication and collaboration skills

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

Cloud platforms

Data engineering technologies

Job description

As a Regulatory Reporting Engineer, you will play a critical role in designing and building technology solutions that support global trade and transaction reporting obligations. Working at the intersection of engineering, data, and regulatory compliance, you will develop scalable systems and data pipelines that process large volumes of trading data and deliver accurate, timely regulatory reporting.

You will partner closely with Engineering, Compliance, Operations, and business stakeholders to translate evolving regulatory requirements into robust technical solutions. This role offers the opportunity to solve complex data challenges, modernize reporting infrastructure, and help shape the future of regulatory technology through automation and advanced engineering practices.

Location

London

Responsibilities

• Design, develop, test, and deploy scalable regulatory reporting applications and data pipelines
• Build solutions that model complex front-to-back trading workflows and business processes
• Develop and maintain systems that support global trade and transaction reporting requirements
• Partner with Compliance, Operations, and business teams to translate regulatory obligations into technical implementations
• Investigate reporting exceptions, reconcile data discrepancies, and implement durable automated solutions
• Optimize data processing frameworks to improve reporting accuracy, scalability, and operational efficiency
• Support the full software development lifecycle, including production monitoring, troubleshooting, and continuous improvement
• Leverage modern data engineering technologies and AI-enabled workflows to enhance automation and control frameworks

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field
• Strong professional experience developing software in Python
• Strong SQL and relational database expertise
• Solid understanding of software engineering principles, system design, and data architecture
• Experience building scalable data processing solutions and distributed systems
• Excellent analytical and problem-solving skills with the ability to work through complex, ambiguous challenges
• Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams

Preferred

• Experience supporting regulatory reporting, transaction reporting, financial controls, or other highly regulated environments
• Knowledge of financial markets, trading systems, financial products, and trade lifecycles
• Experience with cloud platforms and modern data engineering technologies
• Exposure to AI-enabled workflows, intelligent automation, or machine learning applications
• Experience working with large-scale financial datasets