Front-to-Back Investment Services Owns the front-end analysis that turns an emerging business need into a clearly defined, well-understood piece of work, with the outcome, scope, and rationale established before delivery begins. Tech Solutions is MUFG Investor Services' technology organisation, reporting to the CTO. It's structured around five solution domains, each accountable for its own roadmap, budget, and outcomes. Within this structure, the role serves as a specialist analytical and subject-matter-expert resource aligned to the Fund Trading, BPO & Debt Services domain, while remaining deployable across domain boundaries as business priorities require. The role brings deep investment-data and front-to-back operations expertise to the early stages of complex change — translating requirements into practical solution designs, and taking responsibility for the hands-on configuration of trade booking, pre-trade compliance, cash flow forecasting and liquidity, position-keeping, reconciliation, shadow NAV, and valuation. These capabilities underpin the service MUFG provides clients across front, middle, and back office, which is why the role is accountable for building and finalising that configuration itself, not just defining it. Beyond the domain itself, the role contributes to the wider Tech Solutions organisation by building training material, artefacts, and knowledge-sharing forums — embedding this expertise more broadly and reducing dependency on any one person. What you'll do Act as the domain SME and analytical lead for our front-to-back investment services capability — spanning trade booking, pre-trade compliance, cash flow forecasting and liquidity, position-keeping, reconciliation, and valuation — and the systems and processes behind it. Bring deep knowledge of order and trade management workflows, IBOR/ABOR accounting, shadow NAV, and valuation — including complex or non-standard asset classes such as private credit, private equity, and structured products — to the front-end shaping of solutions. Conduct front-end analysis of complex work — feasibility, operating-model implications, data quality, and readiness — going directly to the data and systems yourself using SQL and AI tooling, rather than waiting for others to provide answers. Own the configuration of our investment data systems directly: build and finalise configuration — including scripting and query-based logic where needed — in test and sandbox environments through to a working, production-ready answer, and decide when it's ready to be promoted. A dedicated engineering function then takes it through SDLC into live use and maintains it there. Collaborate across stakeholder groups to define and document business requirements, and work alongside Solution Owners at the front end of complex work to shape intent and acceptance criteria for the parts that carry the most complexity. Translate in both directions — representing technical limitations and implementation realities back to business stakeholders, and business intent back to engineers. Own the working relationship with our technology provider's product and implementation teams, and represent this capability at senior governance forums, as the senior point of contact for it. Identify risks a delivery team would not otherwise see — data gaps, downstream impacts, operational-readiness concerns, and regulatory implications — and partner with Integration Quality Engineers on cross-team test scenarios that no single team can cover. Support adoption readiness where value realisation depends on more than the build — communications, training, data clean-up, and operational change. Build training material and run engagement forums that upskill relevant roles elsewhere in MUFG in this area, so this expertise doesn't depend on any one person. Recognise patterns across the business area — recurring themes, overlaps, and opportunities for reuse — feeding roadmap shaping, and maintain supporting product documentation such as system overviews and use cases. #LI-Hybrid