Data Analyst, Securitisation Tech – London (2 days/wk)

McNally Recruitment Ltd; Greater London; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

McNally Recruitment Ltd in London is seeking a Data Analyst to join a Financial Services client, based at the London branch with a maximum of 2 days per week, offering hybrid working arrangements.

You will manage the analysis of complex securitisation data, provide analytical input to develop innovative processes, and mentor junior analysts across banking and technology teams. Strong SQL/Excel skills and data governance focus are essential.

Qualifications

• Experience as a Data Analyst or hybrid Data and Business Analyst in financial services and securitisation technology.
• Strong securitisation and structured finance knowledge, with understanding of asset classes and data flows.
• Advanced SQL and Excel skills to analyse large datasets and reconcile data.
• Experience translating business needs into data requirements and technology solutions.
• Strong analytical and problem-solving skills focused on data quality and process improvement.
• Excellent stakeholder management and communication across business and technology teams.

Responsibilities

• Support delivery of high-quality business solutions and data extraction, storage, manipulation, processing and analysis.
• Translate business challenges into data-driven requirements with cross-functional teams.
• Analyse securitisation data using SQL and Excel to identify trends and insights.
• Perform data profiling, mapping, and quality analysis to improve data accuracy and governance.
• Collaborate with Product Owners, Business Analysts, and Engineering during design, testing and implementation.
• Produce reporting and analytical outputs to support decision-making and performance.

Skills

Data analysis

SQL

Excel

Stakeholder management

Mentoring

Securitisation

Tools

SQL

Excel

Job description

McNally Recruitment Ltd in London is seeking a Data Analyst to join a Financial Services client, based at the London branch with a maximum of 2 days per week, offering hybrid working arrangements.

You will manage the analysis of complex securitisation data, provide analytical input to develop innovative processes, and mentor junior analysts across banking and technology teams. Strong SQL/Excel skills and data governance focus are essential.