At a Glance
- Tasks: Build and deploy AI solutions for investment teams in Macro and Fixed Income.
- Company: Leading global hedge fund with a focus on innovation and collaboration.
- Benefits: Competitive salary, career progression, and hands-on experience with sophisticated investment professionals.
- Other info: Dynamic role with opportunities to influence cutting-edge AI technology in finance.
- Why this job: Make a real impact by shaping AI applications in finance and driving market decisions.
- Qualifications: Experience in Macro or Fixed Income markets and strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
Our client, a leading global multi strategy hedge fund, is looking for an AI Engineer in London to build and embed production-grade AI solutions across its Macro and Fixed Income investment business.
Sitting within a specialist AI enablement team, the role works directly with portfolio managers, analysts, researchers and trading desks, while partnering with central AI and Data Science teams to turn investment requirements into scalable products.
The position exists to close the gap between advanced AI capabilities and practical front-office adoption, improving how investment teams analyse markets, price risk and make decisions across rates, credit and FX.
Responsibilities
- Work directly with Macro and Fixed Income investment teams to identify high-value opportunities for AI, automation and advanced analytics.
- Build and deploy production-grade LLM, agentic AI and data-driven applications for investment research, pricing, risk and trading workflows.
- Translate requirements from portfolio managers, analysts and traders into robust technical products that can be iterated quickly and scaled.
- Drive adoption through practical demonstrations, on-desk collaboration, user education and ongoing product support.
- Capture feedback from investment users, evaluate emerging AI techniques and influence the development of the wider internal AI platform.
Requirements
- Must have experience supporting front-office users of Macro or Fixed Income markets, including areas such as rates, credit, FX, market data, pricing or investment research.
- 2+ years of professional software engineering, quantitative development or applied AI experience,
- Strong Python engineering skills and experience taking AI or machine learning applications from concept through to production.
- Practical exposure to LLM applications, RAG, AI agents, evaluation, monitoring or model integration within controlled production environments.
- Strong stakeholder skills, commercial awareness and the ability to communicate effectively with both technical teams and investment professionals.
This is an opportunity for an engineer who wants their work used directly by sophisticated investment professionals rather than sitting several layers away from the business.
You will own meaningful problems from initial conversation through to production, gain day-to-day exposure to Macro and Fixed Income decision-making, and help shape how a major investment platform applies generative AI across the front office.
The role offers a strong progression path for someone combining high-quality engineering with product judgement, stakeholder confidence and an interest in financial markets.
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Macro AI Engineer employer: Selby Jennings
Join a leading global platform that offers an exceptional opportunity for growth and development in the real estate M&A sector. With a collaborative and entrepreneurial team culture, you will be exposed to landmark European transactions while enjoying competitive compensation and clear progression pathways. This role not only allows you to enhance your financial modelling and analytical skills but also provides the chance to mentor junior team members, making it a truly rewarding environment for ambitious professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Macro AI Engineer
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Selby Jennings.
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We think you need these skills to ace Macro AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Selby Jennings.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Selby Jennings and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Selby Jennings
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Selby Jennings uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.