Senior C# Developer - Liquidity

• Translate business needs into detailed functional specifications, user stories and acceptance criteria.
• Work closely with Front Office users, Product Owners, Architects and Software Engineers to deliver high-quality solutions.
• Support Agile delivery, backlog refinement, sprint planning and UAT activities.
• Drive process improvements and ensure solutions are delivered to time, cost and quality.
• Collaborate with engineering teams on modernisation initiatives, AI-enabled development and event-driven platforms., Candidates must have strong experience in Liquidity Management and knowledge of at least one of the following:
• XVA (CVA, FVA, ColVA)
• Financial Products (Listed & OTC)
• PnL Explain
• Market Risk (Delta, Gamma, Theta, Vega)
• Cash Forecasting
• Balance Sheet Metrics (Leverage Exposure)
• Pre-Trade Calculations & Trade Booking Workflows

Lorien's leading banking client is looking for a Senior C# Developer to support the delivery of strategic applications across Liquidity, XVA and Financial Resource Management.

Working within a Front Office technology team, you will bridge the gap between business stakeholders and software engineering teams, translating complex business requirements into scalable technical solutions while supporting the ongoing migration to a modern event-driven architecture.

The Ideal candidate will have expertise with a strong hands-on C#/.NET background, enabling them to engage confidently with software engineers and architects.

They will have practical experience working with Agentic AI, LLMs and AI-assisted engineering, alongside a solid understanding of Liquidity platforms and financial markets.

This is a highly collaborative role requiring excellent communication skills, technical credibility and the ability to translate complex business problems into robust technical solutions., * Gather, analyse and document business and technical requirements., * Proven experience as a Technical Business Analyst within Investment Banking or Global Markets.

• Strong hands-on technical background with C# and .NET, enabling effective collaboration with engineering teams and translation of technical requirements.
• Experience working with service-oriented and event-driven architectures.
• Good understanding of MS SQL and modern DevOps practices.
• Practical experience using Large Language Models (LLMs), Agentic AI and AI-assisted software engineering within an enterprise environment.
• Strong stakeholder management, communication, and analytical skills.
• Ability to work independently within a fast-paced Front Office environment.