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For Companies At a Glance
- Tasks: Design and deploy AI solutions for trading and risk management in capital markets.
- Company: Leading global financial services institutions based in the UK.
- Benefits: Hybrid work options, competitive contracts, and exposure to cutting-edge technologies.
- Why this job: Join transformative AI projects with major financial institutions and boost your career.
- Qualifications: 4+ years in AI Engineering with strong capital markets experience.
- Other info: Immediate start with excellent career progression opportunities.
The predicted salary is between 48000 - 84000 £ per year.
As we move into 2026, we have multiple opportunities with leading global financial services institutions based in the UK. These roles offer more exposure to cutting-edge technologies and projects within fast-paced environments in capital markets. Ideal for professionals seeking impactful work and career progression.
We are looking for strong AI Engineers with front-office experience working for investment banks, hedge funds and fintechs.
Position Details
- Location: UK-based (Typically London & Glasgow)
- Right To Work: Must be eligible to work in the UK without requiring sponsorship
- Engagement: B2B 6–12-month rolling contracts
- Work Model: Hybrid and fully remote options available
- Start Date: Immediate and throughout 2026
Key Responsibilities
- Design, develop, and deploy AI/GenAI solutions for trading, risk management, and analytics within capital markets.
- Collaborate with front-office teams to integrate AI-driven models into production systems.
- Work alongside data engineers and platform engineering teams to enhance front-office performance.
- Optimise performance and scalability of AI applications in high-frequency environments, ensuring compliance with regulatory and security standards.
Required Experience
- Minimum: 4+ years in Software Engineering / AI Engineering roles.
- Domain Expertise: Strong experience in capital markets, front-office systems, or financial services (essential).
- Proven track record of delivering AI/ML solutions in production environments, or demonstrable experience building AI tools inside or outside of work setting.
- Education: Relevant Software Engineering / Computer Science degree.
Technical Skills
- Programming Languages: Python, Java, C++, C#, TypeScript, JavaScript
- Machine Learning: TensorFlow, PyTorch, Scikit-learn
- GenAI / LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines
- Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake
- Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes
- Cloud & Infrastructure: AWS, Azure, GCP
- CI/CD pipelines (GitLab, Jenkins)
Desirable Skills
- Experience with prompt engineering, fine-tuning LLMs, and building RAG-based solutions.
- Knowledge of financial instruments, pricing models, and risk analytics.
- Familiarity with MLOps and data governance in regulated environments.
Why Apply?
- Work with major financial institutions on transformative AI projects.
- Exposure to the latest AI/GenAI technologies and frameworks.
- Enhance your CV with high-impact, front-office projects.
AI / GenAI Engineer – Investment Banking / Capital Markets in City of London employer: Caspian One
Contact Detail:
Caspian One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / GenAI Engineer – Investment Banking / Capital Markets in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the investment banking and capital markets scene. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/GenAI projects, especially those related to trading or risk management. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of capital markets. Be ready to discuss how you've applied AI solutions in real-world scenarios. Practice common interview questions and think about how you can highlight your front-office experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities lined up, and applying directly can give you a better chance of landing that dream role. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI / GenAI Engineer – Investment Banking / Capital Markets in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in AI and capital markets. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI in investment banking and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: We’re looking for strong technical expertise, so make sure to list your programming languages and tools clearly. Highlight any experience with AI/ML solutions and how you’ve applied them in real-world scenarios.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Caspian One
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and tools mentioned in the job description, like Python, TensorFlow, and Docker. Brush up on your knowledge of AI/GenAI solutions and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Front-Office Experience
Since this role is focused on capital markets, be prepared to share specific examples from your past work in investment banking or fintech. Highlight any projects where you integrated AI models into production systems and how they impacted performance.
✨Understand the Business Context
Familiarise yourself with the financial instruments and pricing models relevant to the role. Being able to discuss how AI can enhance trading and risk management will show that you understand the bigger picture and can contribute meaningfully.
✨Prepare for Technical Questions
Expect to face technical questions or even coding challenges during the interview. Practice common algorithms and data structures, and be ready to explain your thought process clearly. This will demonstrate your problem-solving skills and technical expertise.
