Fund services | Corporate | Capital markets | Private client | Regulatory & Compliance
We help clients succeed by unlocking new value through expertise, trust and scale. We deliver solutions that solve complex challenges faced by asset managers, financial institutions, corporates, high net-worth individuals and family offices.
With a curious mindset, we ask the right questions to get to the right solution, faster. We collaborate to win together, sharing successes and shaping the future of our global business. Our culture of support and recognition provides the tools and opportunities for you to grow, while unlocking the most value for our clients and making your mark with Ocorian.
Expertise: We deliver specialist, tech-enabled solutions for our clients grounded on deep industry expertise.
Trust: We’re a trusted partner to over 8,000 clients globally. We are proud to have long-lasting partnerships with our clients.
Scale: With more than 1,500 colleagues, we operate across 20+ countries, our scale enables us to support our clients globally and locally, providing a seamless client experience across borders and service lines.
Please note that we do not offer visa sponsorship for this role.
Purpose of the Job
We’re seeking a meticulous and analytical Structured Finance Data Analyst to support the modernization of ETI’s legacy securitization systems and the migration of deal processing onto EMPIRE—our next‑generation Azure-based platform supporting MBS and ABS (RMBS, CMBS, consumer ABS) structured‑finance processing, cashflow analytics, and investor reporting.
This role is deeply embedded within the transformation team and will work cross‑functionally with developers, ETI analysts, and business stakeholders to ensure data accuracy, reconciliation completeness, and smooth migration execution. You will be the connective layer between data, technology, and operations.
Main Responsibilities
- Execute detailed data‑level and file‑level testing between ETI legacy MS Foxpro systems and EMPIRE.
- Perform structured reconciliations for MBS/ABS datasets, including loan‑level files, pool‑group aggregations, cashflow waterfalls, and remittance/investor reports.
- Conduct field‑by‑field comparisons across CSV, Excel, fixed‑width text, and other structured formats.
- Work directly with ETI analysts to clarify business rules, validate exceptions, and confirm expected r