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- Tasks: Lead AI projects for trading and treasury, designing end-to-end systems.
- Company: Join a leading financial services firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in finance by building cutting-edge AI systems.
- Qualifications: 6-10 years in software engineering with AI experience; strong Python skills required.
- Other info: Work in a dynamic environment with potential to lead a small AI team.
The predicted salary is between 72000 - 108000 £ per year.
Mission:
- Build and lead AI capability focused on agentic AI for trading / treasury
- Deliver production-grade systems in regulated financial services environments
We are looking at Architect / Principal Engineer level candidates who will be:
- Able to design systems end-to-end
- Comfortable client-facing in Tier-1 bank environments
- Potential to help build and lead a small AI team
Core Technical Requirements:
- 6–10+ years software engineering experience
- 2–4+ years building AI / LLM systems in production
- Experience building agentic workflows (tool calling, orchestration, RAG)
- Strong backend engineering (Strong in Python essential)
- API integrations with enterprise systems
- Experience with vector databases and structured retrieval
- Cloud deployment (AWS / Azure / GCP)
- Monitoring, logging and auditability experience
Financial Services Experience (Must Have):
- Exposure to Front Office trading or Treasury
- Understanding of risk / pricing systems integration
- Experience in regulated environments (audit, compliance, governance)
- Comfortable working with traders, quants and risk teams
Nice to Have:
- Human-in-the-loop systems
- Trading desk automation
- LLM provider-agnostic architecture
- Experience moving PoC to Production in enterprise environments
AI Engineer – Trading / Treasury Focus in Leeds employer: PR GLOLINKS
Contact Detail:
PR GLOLINKS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer – Trading / Treasury Focus in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector, especially those who work in trading or treasury. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI projects, especially those related to agentic workflows or production-grade systems. This will help you stand out when you're chatting with potential employers.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for AI engineers in financial services. Role-play with a friend or use online resources to refine your answers and boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We have some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace AI Engineer – Trading / Treasury Focus in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience in building AI systems, especially in trading or treasury environments. We want to see how your skills match our needs!
Showcase Your Projects: Include specific projects where you've designed end-to-end systems or worked with agentic workflows. We love seeing real examples of your work, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and make it easy for us to see why you’re a great fit for the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at PR GLOLINKS
✨Know Your Tech Inside Out
Make sure you’re well-versed in the core technical requirements listed in the job description. Brush up on your Python skills, especially in backend engineering, and be ready to discuss your experience with AI systems and cloud deployment. The more confident you are in your technical knowledge, the better you'll impress the interviewers.
✨Showcase Your Financial Services Experience
Since this role is heavily focused on trading and treasury, be prepared to share specific examples from your past work in financial services. Talk about your exposure to front office trading or treasury environments and how you've navigated regulated settings. This will demonstrate that you understand the nuances of the industry.
✨Prepare for Client-Facing Scenarios
As the role involves client-facing responsibilities, think of scenarios where you've successfully communicated complex technical concepts to non-technical stakeholders. Practice articulating your ideas clearly and confidently, as this will show your potential to engage effectively with traders, quants, and risk teams.
✨Demonstrate Leadership Potential
Since they’re looking for someone who can help build and lead a small AI team, be ready to discuss your leadership experiences. Share examples of how you've mentored others or led projects, and express your vision for building a successful AI capability. This will highlight your readiness to take on a leadership role.