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- Tasks: Develop AI-driven solutions and optimise financial workflows in a high-performance environment.
- Company: Leading $70BN quant hedge fund with a focus on engineering excellence.
- Benefits: Competitive salary of 400k+, remote work options, and professional growth opportunities.
- Why this job: Join a top-tier team at the forefront of AI and finance innovation.
- Qualifications: Experience in C# or Java, distributed systems, and AI/ML frameworks.
- Other info: Collaborative culture led by a respected engineering manager in AI governance.
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 | 400k+ 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 | 400k+
✨Tip Number 1
Network like a pro! Reach out to folks in the quant trading space, especially those who work at hedge funds. Use LinkedIn or industry meetups to connect and chat about their experiences. You never know who might have a lead on that perfect AI Software Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and any relevant work with distributed systems. This is your chance to demonstrate your expertise in C#, Java, or any other tech from the stack. Make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and system design knowledge. Practice coding challenges and be ready to discuss how you've applied machine learning in real-world scenarios. The more prepared you are, the more confident you'll feel when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job. Plus, applying directly shows your enthusiasm and commitment to joining the team. Let’s get you into that high-performing culture where you can thrive!
We think you need these skills to ace AI Software Engineer | Quant Trading | 400k+
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 related to distributed systems or AI, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our awesome team!
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 tech stack mentioned in the job description. Brush up on your C# or Java skills, and be ready to discuss distributed systems, SQL, and any experience you have with Kubernetes, Spark, or Kafka/Flink. Being able to talk confidently about these technologies will show that you’re a strong fit for the role.
✨Showcase Your AI Knowledge
Since this role has a significant focus on AI engineering, prepare to discuss your experience with machine learning and AI-driven approaches. Think of specific projects where you applied these techniques to optimise workflows or enhance decision-making. This will demonstrate your ability to contribute to their high-impact roadmap.
✨Understand the Business Context
Familiarise yourself with the quant trading environment and how technology plays a role in it. Research the firm’s business lines—Trading, Operations, and Finance—and think about how your engineering skills can support their goals. Showing that you understand the bigger picture will impress the interviewers.
✨Prepare Questions for Them
Interviews are a two-way street, so come prepared with insightful questions. Ask about the team culture, the challenges they face in AI governance, or how they measure success in their projects. This not only shows your interest but also helps you gauge if this is the right fit for you.