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.
Responsibilities
- 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.
Required Qualifications & Skills
- 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.
Beneficial Skills & Qualifications
- 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.
What we’ll provide you
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 (plus bank holidays)
- A discretional annual performance related bonus
- Private Medical Care & Life Insurance
- Employee Assistance Program
- Pension Plan
- Paid Parental Leave
- Special discounts for employees, family, and friends
- Access to an array of learning and development resources
Visit our About Us | Culture, Values & Benefits page to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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Citi London, England Office
33 Canada Square, London, United Kingdom, E14 5LB
