AI Engineer – Trading / Treasury Focus
AI Engineer – Trading / Treasury Focus

AI Engineer – Trading / Treasury Focus

Full-Time 72000 - 108000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead AI projects focused on trading and treasury, delivering top-notch systems.
  • Company: Join a leading financial services firm at the forefront of AI innovation.
  • 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 solutions.
  • Qualifications: 6-10 years in software engineering with AI/LLM experience; strong Python skills required.
  • Other info: Dynamic role with potential to lead a small AI team in a fast-paced environment.

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 employer: PR GLOLINKS

As an AI Engineer focused on trading and treasury, you will join a forward-thinking team dedicated to pioneering AI capabilities in the financial services sector. Our company fosters a collaborative work culture that values innovation and professional growth, offering ample opportunities for career advancement while working in a dynamic environment alongside industry experts. Located in a vibrant financial hub, we provide a unique chance to engage with Tier-1 banks, ensuring your contributions have a meaningful impact on the future of trading technology.
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Contact Detail:

PR GLOLINKS Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer – Trading / Treasury Focus

Tip Number 1

Network like a pro! Reach out to your connections in the financial services sector, especially those who work with AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those related to trading or treasury. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and understanding of financial services. Be ready to discuss how your experience aligns with building agentic AI systems in regulated environments.

Tip Number 4

Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the process smoother for everyone involved.

We think you need these skills to ace AI Engineer – Trading / Treasury Focus

AI Capability Development
Agentic AI
Production-Grade Systems Delivery
End-to-End System Design
Client-Facing Skills
Team Leadership
Software Engineering
AI/LLM Systems Development
Agentic Workflows
Backend Engineering
Python
API Integrations
Vector Databases
Cloud Deployment (AWS/Azure/GCP)
Monitoring and Logging
Financial Services Experience
Risk/Pricing Systems Integration
Regulated Environments Experience
Collaboration with Traders and Quants

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to highlight your experience in AI and software engineering. Focus on the skills that match our job description, like backend engineering and cloud deployment. We want to see how your background fits with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in trading and treasury. Share specific examples of your past work that align with our mission and how you can contribute to building our AI capability.

Showcase Relevant Projects: If you've worked on projects involving agentic workflows or AI systems in production, make sure to highlight them. We love seeing real-world applications of your skills, especially in regulated financial environments. Don’t hold back!

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 shows us you’re keen on joining the StudySmarter team!

How to prepare for a job interview at PR GLOLINKS

Know Your AI Inside Out

Make sure you’re well-versed in the latest AI technologies, especially those relevant to trading and treasury. Brush up on your experience with agentic workflows and be ready to discuss how you've implemented these in production environments.

Showcase Your Client-Facing Skills

Since this role involves working with Tier-1 banks, prepare examples of how you've successfully communicated complex technical concepts to non-technical stakeholders. Highlight any experiences where you’ve collaborated with traders or risk teams.

Demonstrate Your Technical Expertise

Be prepared to dive deep into your backend engineering skills, particularly in Python. Have specific examples ready that showcase your experience with API integrations, cloud deployments, and monitoring systems in regulated environments.

Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in moving PoCs to production and how you ensured compliance and governance in your projects.

AI Engineer – Trading / Treasury Focus
PR GLOLINKS
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