At a Glance
- Tasks: Design and build AI agents to automate Market Risk testing workflows.
- Company: Join a leading global financial institution with a focus on innovation.
- Benefits: Competitive rate of up to £800/day and opportunities for professional growth.
- Other info: Collaborate with diverse teams and ensure compliance in a regulated environment.
- Why this job: Make an impact by developing intelligent automation solutions in a dynamic environment.
- Qualifications: Strong Python skills and experience with AI frameworks like LangChain and Azure.
The predicted salary is between 62400 - 83200 £ per year.
Location: London (3 days per week onsite)
Contract: Initial 12-month contract
Rate: Up to £800/day (Inside IR35)
A leading global financial institution is seeking an AI Agent Engineer to develop an intelligent automation solution focused on Market Risk QA and testing processes.
Key Requirements
- Strong Python development experience.
- Hands-on experience with LangChain, LangGraph, and agentic AI frameworks.
- Experience with MCP (Model Context Protocol) and LLM integration.
- Azure OpenAI and Azure AI Foundry expertise.
- Experience building scalable AI solutions within enterprise environments.
- Understanding of AI governance, security, auditability, and compliance controls.
- Ability to work within regulated environments and deliver robust technical documentation.
Responsibilities
- Design and build AI agents to automate Market Risk testing workflows.
- Integrate with existing systems and MCP infrastructure.
- Deliver scalable, secure, and compliant AI solutions on Azure.
- Collaborate with Risk, QA, Engineering, and Architecture teams.
- Ensure governance, auditability, and operational controls are embedded throughout the solution life cycle.
AI Engineer - Market Risk Automation employer: Korn Ferry
Korn Ferry is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, we provide opportunities for professional development and the chance to work on cutting-edge AI solutions within a supportive environment. Our commitment to governance and compliance ensures that you will be part of a team that values integrity and excellence in all aspects of our work.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Market Risk Automation
✨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 showcasing your Python projects, especially those involving LangChain or Azure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI governance and compliance, as well as your experience with scalable solutions.
✨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 proactive about their job search!
We think you need these skills to ace AI Engineer - Market Risk Automation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your Python development experience and any hands-on work with LangChain or Azure. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've built scalable AI solutions or worked with LLM integration. This gives us a clear picture of your capabilities and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's relevant to the role. Make it easy for us to see your strengths!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Korn Ferry
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific frameworks mentioned, like LangChain and LangGraph. Brush up on your knowledge of MCP and LLM integration, as these will likely come up during technical discussions.
✨Showcase Your Experience
Prepare to discuss your previous projects where you built scalable AI solutions. Be ready to explain how you ensured compliance and governance in those projects, as this is crucial for the role.
✨Understand the Business Context
Familiarise yourself with market risk concepts and how AI can enhance QA processes. This will help you demonstrate your understanding of the industry and how your skills can directly benefit the company.
✨Collaborative Mindset
Since the role involves working with various teams, be prepared to discuss how you’ve successfully collaborated in the past. Highlight any experience you have in cross-functional teams, especially in regulated environments.
