Data Analyst, Securitisation Technology, VP

Join us as a Data Analyst

• Take on a new challenge in a cutting edge data team, in which you’ll manage the analysis of complex bank, franchise or function data to identify business issues and opportunities
• We’ll look to you to provide high quality analytical input to help develop and implement innovative processes and resolve problems across the bank
• This is a hands on role in which you'll hone your data analysis expertise and gain valuable experience in a dynamic area of our business
• We're offering this role at vice president level

What you'll do

As a Data Analyst, you'll play a key role in supporting the delivery of high quality business solutions. You’ll be performing data extraction, storage, manipulation, processing and analysis, alongside developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data.

Day-to-day, you’ll also be:

• Collecting, profiling and mapping appropriate data to use in new or existing solutions as well as for ongoing data activities
• Identifying and documenting data migration paths and processes, standardising data naming, data definitions and modelling
• Interpreting customer needs and turning them into functional or data requirements and process models
• Building and maintaining collaborative partnerships with key business stakeholders

The skills you'll need

We’re looking for someone with experience of using data analysis tools and delivering data analysis in a technology or IT function.

We’ll also look for:

• At least 12+ years of experience in Data Analyst or Data & Business Analyst roles within financial services, with hands-on exposure to RMBS, Synthetic Risk Transfer (SRT), securitisation, and structured finance transactions
• Strong knowledge of securitisation and structured finance products, including transaction lifecycles, underlying asset classes, risk mitigation techniques, and associated data flows
• Advanced proficiency in SQL and Excel, with proven experience analysing, reconciling, and interpreting large and complex datasets
• Experience translating complex business requirements into detailed data specifications and technology solutions, ensuring effective collaboration between business and technology teams
• Strong analytical and problem-solving skills, with expertise in data quality management, root cause analysis, and process improvement initiatives
• Excellent stakeholder management and communication skills, with the ability to engage and influence stakeholders across business and technology functions

Hours

45

Job Posting Closing Date:

23/09/2026