AI Engineer, Rates VP in London

AI Engineer, Rates VP in London

London Full-Time 63000 - 77000 £ / year (est.) No working from home possible
C

At a Glance

  • Tasks: Design and develop AI solutions that revolutionise trading and risk management.
  • Company: Join Citi, a leading global financial services company with a dynamic culture.
  • Benefits: Enjoy 27 days annual leave, private medical care, and a competitive salary.
  • Other info: Collaborate with top professionals and access extensive learning resources.
  • Why this job: Make a real impact in finance using cutting-edge AI technologies.
  • Qualifications: Degree in Computer Science or related field; experience in AI/ML engineering required.

The predicted salary is between 63000 - 77000 £ per year.

The Global Rates business is seeking an exceptional AI Engineer to drive the development and implementation of cutting-edge artificial intelligence solutions that will transform our trading, risk management, and client service capabilities. This role sits at the intersection of advanced AI technology and financial markets, offering the opportunity to build innovative solutions that directly impact business outcomes.

As an AI Engineer within Global Rates, you will be responsible for designing, developing, and deploying AI-powered applications and systems that leverage the latest advancements in generative AI, agentic frameworks, and intelligent automation. You will work closely with traders, sales, quants and technology teams to identify opportunities for AI integration and deliver production-grade solutions.

Key Responsibilities

  • AI Solution Development
    • Design, develop, and deploy production-ready AI applications using generative AI techniques, including large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks.
    • Build intelligent automation solutions that enhance trading workflows, risk analysis, and operational efficiency.
    • Develop agentic coding systems that can autonomously generate, test, and optimize code for financial applications.
    • Create conversational AI interfaces and intelligent assistants for traders and business users.
  • Technical Architecture & Implementation
    • Architect and implement RAG pipelines for knowledge retrieval from structured and unstructured financial data sources.
    • Design and optimize vector databases and embedding strategies for efficient information retrieval.
    • Develop prompt engineering frameworks and fine-tuning strategies for domain-specific LLM applications.
    • Build multi-agent systems that can collaborate to solve complex financial problems.
    • Implement guardrails, validation frameworks, and monitoring systems for AI applications.
  • Data Engineering & Integration
    • Design and build data pipelines to support AI/ML workflows, integrating market data, trade data, and research content.
    • Develop ETL processes for preparing training data and maintaining knowledge bases.
    • Create APIs and microservices to integrate AI capabilities into existing trading and risk platforms.
    • Optimize data storage and retrieval mechanisms for high-performance AI applications.
  • Collaboration & Innovation
    • Partner with business stakeholders to identify high-impact use cases for AI implementation.
    • Collaborate with quantitative researchers to integrate AI techniques into pricing and risk models.
    • Work with compliance and risk teams to ensure AI solutions meet regulatory and governance requirements.
    • Stay current with emerging AI technologies and evaluate their applicability to Global Rates business needs.
    • Contribute to the firm's AI/ML community of practice and knowledge sharing initiatives.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related quantitative field.
  • Strong academic foundation in algorithms, data structures, and software engineering principles.
  • Professional experience in AI/ML engineering, software development, or data science roles.
  • Demonstrated experience building and deploying production AI applications.
  • Proven track record of delivering end-to-end technical solutions.

Technical Skills - Core Requirements

  • Generative AI & Machine Learning:
    • Hands-on experience with generative AI techniques and large language models (GPT, Claude, Llama, etc.).
    • Practical experience implementing Retrieval-Augmented Generation (RAG) systems.
    • Experience with agentic frameworks and autonomous coding systems.
    • Knowledge of statistics and machine learning techniques.
  • Programming & Development:
    • Strong proficiency in Python.
    • Strong SQL skills.
    • Front end development.

By joining Citi London, you will not only be part of a business casual workplace and 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.

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.

If you are actively working with clients, have a passion for relationships and want to be part of a successful global franchise – then apply today.

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

AI Engineer, Rates VP in London employer: Citigroup

Citi is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. As a Sales Director, you will benefit from extensive training and mentorship opportunities, fostering your professional growth while working alongside industry leaders in FX Sales. With a strong commitment to integrity and inclusivity, Citi provides a supportive culture that empowers employees to excel and drive meaningful results for clients.

C

Contact Details:

Citigroup Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer, Rates VP in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Citigroup or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Citigroup.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Citigroup.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Citigroup that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Engineer, Rates VP in London

Generative AI Techniques
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic Frameworks
Autonomous Coding Systems
Python Programming
SQL Proficiency

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Citigroup.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Citigroup and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Citigroup

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Citigroup uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.