Technical Lead – Regulatory Reporting (EMEA) | London |
We are partnering with a globally recognised institutional brokerage and investment bank, who are looking to hire a Technical Lead within their Middle & Back Office Technology function.
You will work at the intersection of Technology, Front Office, Operations, and Compliance, leading the redesign of critical reporting architecture in a fast-paced, front-to-back trading environment.
The Opportunity
This role will take ownership of a strategic re-engineering programme for MiFID Transaction Reporting, replacing legacy infrastructure with a scalable, future-proof platform aligned to global architecture standards.
You’ll play a key role in shaping how regulatory reporting supports evolving business activity across cash equities and broader capital markets workflows.
Key Responsibilities
- Lead the end-to-end redesign of MiFID Transaction Reporting systems across EMEA
- Define and deliver a target-state architecture aligned with global technology strategy
- Partner with Front Office, Operations, Compliance, and Finance Technology teams to deliver change
- Act as the technical SME for regulatory reporting, advising on system impact of new business and regulatory change
- Manage stakeholder expectations, providing clear updates to senior business and technology leadership
- Collaborate with global teams to ensure consistency with enterprise-wide architecture standards
- Oversee project delivery, including design, build, and implementation phases
- Provide L3 escalation support for regulatory reporting issues
Requirements
- Extensive experience (8+ years) within sell-side capital markets technology
- Strong hands-on expertise in regulatory reporting (MiFID Transaction Reporting preferred)
- Proven experience delivering large-scale transformation or re-engineering programmes
- Strong understanding of front-to-back trade lifecycle, particularly within cash equities
- Solid technical background including SQL, Python, Linux, and scripting
- Experience working with reporting and data visualisation tools (e.g. Qlik, BI platforms)
- Strong understanding of data models and data architecture principles
If you think suitable please apply.