Lead Software Engineer (XVA) - VP in London

Join Citi's XVA Technology team in London as a Lead Software Engineer at Vice President level, and take on a role at the intersection of advanced software engineering and AI-driven innovation — at a firm where your code, your decisions, and your ideas operate at global scale. This role is built for a hands-on engineer with deep AI and software development expertise who can independently set and drive a technical agenda — building production systems, embedding intelligent tooling, and owning project outcomes across a complex, high-impact domain. You will work alongside high-calibre engineers and engaged business partners to architect, build, and deliver solutions that redefine how XVA risk is calculated and managed globally.

• Design, build, and maintain scalable, high-performance software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards.
• Build and integrate AI and Machine Learning solutions into core XVA workflows — applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output.
• Take end-to-end ownership of technology projects — from initial design and development through to production release — coordinating across engineering, business, and operations teams to keep projects on track.
• Lead and run technology projects with confidence, managing timelines, dependencies, and stakeholder expectations while keeping the engineering team focused and unblocked.
• Translate complex business requirements from Risk, Operations, and Technology partners into clear functional specifications, well-structured solution designs, and working software.
• Drive Agile delivery practices across cross-functional and distributed teams, facilitating sprint planning, stand-ups, retrospectives, and release coordination.
• Define project scope and ensure all solutions meet regulatory and compliance requirements, proactively identifying and resolving technical and delivery risks across market risk technology projects.
• Mentor engineers and analysts, sharing technical knowledge, setting quality standards, and building team capability — particularly in modern engineering practices and AI tooling.

• Extensive hands-on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production-grade systems in a financial services environment.
• Hands-on experience building and deploying AI or Machine Learning solutions in a production environment, with the ability to identify where Generative AI tooling can be embedded to measurably improve engineering workflows and analytical capabilities.
• Ability to independently own and drive a technical agenda — setting direction, making architectural decisions, and managing project outcomes without requiring close oversight.
• Solid understanding of distributed systems, microservices architecture, and scalable data processing, with the ability to make and defend architectural decisions under real-world constraints.
• Domain knowledge in XVA (X-Value Adjustment), market risk, or related regulatory frameworks such as FRTB or Netted CVA, with the ability to engage credibly with both technical and business stakeholders.
• Clear, confident communication skills — able to present complex technical concepts to non-technical audiences and align diverse stakeholders around a shared project plan.
• Bachelor's degree in Computer Science, Engineering, or a related discipline.

• Experience leading AI or automation initiatives within a financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code.
• Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus.
• Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave.