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- Tasks: Develop AI-driven solutions and optimise financial workflows in a high-impact engineering team.
- Company: A leading $70BN quant hedge fund with a focus on innovation and collaboration.
- Benefits: Competitive salary, cutting-edge tech environment, and opportunities for professional growth.
- Other info: Work under a respected engineering manager in a dynamic, mission-critical environment.
- Why this job: Join a top-tier team at the forefront of AI and finance, making a real impact.
- Qualifications: Experience in C# or Java, distributed systems, and a passion for AI engineering.
The predicted salary is between 80000 - 100000 £ per year.
Our client is a $70BN quant hedge fund. Following exceptional performance in 2025, they are continuing to invest heavily in world-class engineering talent. This role sits within their core engineering team, supporting three core business lines: Trading, Operations, and Finance. The team is responsible for a high-impact roadmap including a new margining platform, cash optimisation tooling, position allocation systems, and expansion into new asset classes such as fixed income.
What makes this role unique is its dual focus: approximately 50% of the work is dedicated to AI engineering, applying advanced machine learning and AI-driven approaches to optimise financial workflows, enhance decision-making, and build intelligent automation across the platform. The remaining scope covers high-performance distributed systems engineering in a mission-critical environment.
The team is led by a highly respected engineering manager who also serves as the firm’s Head of AI Governance, offering a rare opportunity to work at the intersection of cutting-edge AI development and responsible, enterprise-scale AI deployment. Having partnered with this group for several years, I can confidently say they are among the strongest technical teams I’ve worked with, combining deep engineering excellence with a genuinely collaborative and high-performing culture.
Tech Stack: C# or Java, Distributed Systems, SQL, Kubernetes, Spark, Kafka/Flink, alongside modern AI/ML tooling and frameworks.
AI Software Engineer | Quant Trading | + employer: Paragon Alpha - Hedge Fund Talent Business
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer | Quant Trading | +
✨Tip Number 1
Network like a pro! Reach out to current employees at the hedge fund on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the engineering team. Personal connections can make all the difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your AI projects and distributed systems work. When you get that interview, having tangible examples of your expertise will set you apart from the competition.
✨Tip Number 3
Practice makes perfect! Brush up on your coding skills and algorithms, especially in C# or Java. Consider mock interviews with friends or use online platforms to simulate the real deal. Confidence is key when you're in front of the hiring team!
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your talents. Plus, it shows you’re genuinely interested in joining our awesome team. Don’t miss out!
We think you need these skills to ace AI Software Engineer | Quant Trading | +
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Software Engineer role. Highlight your experience with C#, Java, and any relevant AI/ML projects to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and quant trading, and explain how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool projects involving distributed systems or AI, don’t hold back! Include links or descriptions in your application to give us a taste of your hands-on experience.
Apply Through Our Website: We love it when candidates apply directly through our website! It helps us keep track of applications better and ensures you get the attention you deserve. So, hit that apply button!
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like C#, Java, and distributed systems. Brush up on your SQL skills and get familiar with Kubernetes and Spark. Being able to discuss how you've used these tools in past projects will show that you're not just a theoretical candidate but someone who can hit the ground running.
✨Showcase Your AI Knowledge
Since this role has a strong focus on AI engineering, be prepared to discuss advanced machine learning concepts and how they can optimise financial workflows. Bring examples of any relevant projects or experiences where you applied AI/ML techniques, especially in a financial context. This will demonstrate your ability to contribute to their high-impact roadmap.
✨Understand the Business Lines
Familiarise yourself with the core business lines: Trading, Operations, and Finance. Understanding how engineering impacts these areas will help you articulate how your skills can add value. Think about how AI can enhance decision-making in trading or improve operational efficiency, and be ready to share your insights during the interview.
✨Emphasise Collaboration
This team values a collaborative culture, so be prepared to discuss your experience working in teams. Share examples of how you’ve successfully collaborated with others, especially in high-pressure environments. Highlighting your ability to work well with diverse teams will resonate with their emphasis on a high-performing culture.