Technical/Data Analyst

• Partner with business, compliance, operations, data governance, and technology teams to analyse and define TTR data requirements.
• Identify and document critical data elements, business definitions, ownership, stewardship, and quality requirements across the TTR domain.
• Document and maintain end-to-end data lineage across source systems, transformations, controls, and regulatory reporting outputs.
• Support delivery of BCBS239-aligned improvements to data traceability, governance, reconciliation, and control effectiveness.
• Investigate reporting and data quality issues, perform root-cause analysis, and support remediation of upstream and downstream control gaps.
• Translate regulatory and business requirements into clear functional and technical specifications.
• Maintain high-quality documentation in support of audits, governance reviews, and change delivery.
• Work closely with internal teams and third-party vendors to deliver change across MiFID II, EMIR, and SFTR reporting processes.

This is an opportunity to play a central role in a BCBS239 data lineage initiative, helping to strengthen the traceability, control, and quality of critical regulatory reporting data across MiFID II, EMIR, and SFTR. The role would suit someone with strong technical analysis skills, a solid understanding of investment banking products and trade flows, and experience of regulatory reporting, data lineage, and data quality controls., * Experience in a Technical Analyst, Business Analyst, or Data Analyst role within investment banking, capital markets, or regulatory reporting.

• Strong understanding of trade lifecycle data, transaction flows, and regulatory reporting processes.
• Knowledge of MiFID II, EMIR, and SFTR reporting requirements.
• Experience documenting data lineage, mappings, transformation logic, controls, and reconciliations.
• Understanding of BCBS239 principles and their application to data governance and data quality.
• Strong SQL and data analysis capability.
• Strong stakeholder management, communication, and problem-solving skills.
• Experience with metadata, lineage, or governance tooling would be advantageous.
• Knowledge of Agile methodologies and experience in Jira/Confluence.
• Experience with cloud-based data platforms or big data technologies.
• Experience of database enquiry languages, i.e., PL/SQL (Oracle) so that data analysis can be performed based on requirements from relevant business parties.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.