At a Glance
- Tasks: Lead the development of AI-driven trading tools and innovate on cloud-native platforms.
- Company: Join a pioneering team in a dynamic financial tech environment.
- Benefits: Competitive salary, creative freedom, and direct impact on trading performance.
- Other info: Be part of a small, high-impact team with excellent growth opportunities.
- Why this job: Shape the future of trading with cutting-edge AI technology and collaborate with top professionals.
- Qualifications: 10+ years in software/data engineering, strong Python skills, and experience in capital markets.
The predicted salary is between 72000 - 108000 £ per year.
Join a pioneering team that’s redefining how AI and cloud-native platforms power front-office trading. We’re hiring a hands-on engineering leader to shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions.
This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke GenAI tools that directly impact trading performance. If you’re passionate about building something unique, ahead of the curve, and never done before, this is your chance to make it happen.
What You’ll Do
- You’ll lead and innovate across both cloud and on-prem environments, scaling platform capabilities and driving AI adoption:
- Architect and develop cutting-edge platform services for AI-driven trading.
- Potentially lead a small team of engineers, driving technical excellence while staying hands-on.
- Collaborate with internal infra/platform teams to align capabilities and avoid duplication.
- Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes.
- Mentor junior engineers and set best practices for AI/ML infrastructure.
- Influence across organisational boundaries and champion modern engineering trends.
- Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling.
Tech Stack
- Programming: Python (Java familiarity is a plus).
- AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more.
- On-Prem: Managed Kubernetes Platform and Hadoop ecosystem.
Why This Role is Different
- Direct Impact: Build AI tools that traders and quants use daily to optimise strategies.
- Creative Freedom: Open collaboration and the chance to bring your ideas to life.
- Visibility: Be a big player in a small, high-impact team with exposure across the organisation.
What We’re Looking For
- 10+ years of extensive experience in software/data engineering, ideally in platform or infra roles.
- Strong programming skills in Python; passion for code quality and testing.
- Demonstrable experience applying GenAI concepts to front-office/capital markets environments.
- Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation).
- Passion for being hands-on while enabling and growing a small engineering team.
Nice to Have
- Experience with on-prem Hadoop and Kubernetes.
- Familiarity with AWS cost management and optimisation tools.
- Knowledge of front-office developer workflows in financial services.
AI Engineer - VP Capital Markets in City of London employer: Caspian One
Join a forward-thinking company that champions innovation and collaboration in the heart of the capital markets. As an AI Engineer, you'll not only have the opportunity to shape cutting-edge trading solutions but also enjoy a vibrant work culture that prioritises employee growth and creative freedom. With access to advanced technologies and a supportive environment, this role offers a unique chance to make a significant impact while working alongside industry leaders.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - VP Capital Markets in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and cloud-native platforms. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and trading solutions. Practice common interview questions and be ready to discuss how your experience aligns with the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace AI Engineer - VP Capital Markets in City of London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and cloud-native platforms shine through. We want to see how your passion aligns with our mission to redefine trading solutions. Share specific examples of projects or experiences that highlight your love for innovation in this space.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with Python, AWS, and any relevant GenAI projects. We’re looking for candidates who can demonstrate their technical skills and how they’ve applied them in real-world scenarios, especially in capital markets.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Use bullet points where necessary to make your achievements stand out, and don’t forget to proofread for any typos or errors before hitting send!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture while you’re at it!
How to prepare for a job interview at Caspian One
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description, especially Python and AWS services. Brush up on your knowledge of S3, Kinesis, and Lambda, as these are crucial for the role. Being able to discuss how you've used these technologies in past projects will show your hands-on experience.
✨Showcase Your Leadership Skills
Since this role involves leading a small team, be prepared to discuss your leadership style and experiences. Think of examples where you’ve mentored junior engineers or driven technical excellence. Highlight how you can balance being hands-on while also guiding others.
✨Understand the Business Impact
This position is all about creating AI tools that impact trading performance. Be ready to talk about how your work can directly influence business outcomes. Research the company’s trading strategies and think about how your skills can enhance their operations.
✨Stay Ahead of the Curve
Demonstrate your passion for innovation in Generative AI and cloud-native tooling. Share any recent projects or research you’ve done in these areas. Showing that you’re proactive about staying updated with industry trends will set you apart from other candidates.
