At a Glance
- Tasks: Build innovative tools and dashboards to enhance productivity and AI integration in investment processes.
- Company: Join Schonfeld, a leading global multi-manager hedge fund with a focus on technology and analytics.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on user needs and fast-paced project ownership.
- Why this job: Make a real impact by leveraging cutting-edge AI technologies in finance.
- Qualifications: 2-5 years in quantitative development, strong Python and SQL skills, and AI integration experience.
The predicted salary is between 60000 - 80000 £ per year.
Quantitative Developer to join the Fundamental Equity COO team, embedded within the business to build tools, dashboards, and data pipelines that improve productivity, deepen AI adoption, and make better use of data access. AI integration is a core part of this role, including LLMs, agentic workflows, and AI-powered tooling in the investment process. You should bring hands-on experience and a clear view of where these technologies are heading. The role is close to the investment process, requiring proactive, delivery-focused work that yields high-quality outputs and immediate value for investment professionals.
What You’ll Do
- Write clean, well-structured, maintainable code and contribute to engineering practices within the team, including CI/CD pipelines and version control, with a contribution to firmwide best practices for broad reuse.
- Build, deploy, and maintain internal tools and dashboards that surface quantitative outputs, portfolio analytics, and market data in clean, intuitive interfaces used by investment professionals.
- Contribute to the AI integration layer with central Technology teams: implement and operate AI capabilities tailored to Fundamental Equity, spanning LLM APIs, MCP servers, and agentic workflows, with continuous reassessment of best approaches.
- Work closely with quant researchers to turn analytical outputs from prototype into reliable, production-ready applications.
- Continuously identify where AI tooling can reduce friction, improve output quality, or unlock capabilities not currently available.
What You’ll Bring
- 2–5 years of relevant experience: quantitative development, dev strats, analytics engineering, product management, or quantitative analysis at a bank, hedge fund, asset manager, or financial data provider.
- Strong Python proficiency; solid SQL and database usage skills (relational and/or time-series).
- Demonstrated experience building dashboards and UIs actively used by investment teams or professional users in production.
- Hands-on experience with AI/LLM integration: API usage, prompt engineering, tool use, and retrieval-augmented workflows.
- Practical familiarity with MCP servers, agentic frameworks, or multi-model orchestration architectures.
- Experience with AI-assisted development tools as part of daily engineering workflow.
- Sound software engineering fundamentals: version control, structured codebases, CI/CD pipelines, documentation, testing.
- Active engagement with the AI development landscape to test new tools and translate insights into practical building decisions.
- Collaborative by nature; able to work across technical and non-technical audiences to share ideas and contribute to a positive team culture.
- Product-minded: focus on user needs and the problem being solved, not just code execution.
- Comfortable in a business-facing team with evolving requirements and a fast pace; not a research-lab environment.
- Self-starter who owns projects end-to-end, from scoping to maintenance and iteration.
- Intellectually curious about financial markets and the investment process.
We’d Love If You Had
- Exposure to alternative data ingestion or vendor API integrations.
- Prior experience in a hedge fund or multi-manager platform.
- Comfortable working within AWS: EC2, containerized workloads, and infrastructure managed via Terraform or similar IaC tooling.
- Experience with Docker, Kubernetes, and workflow orchestration frameworks (Prefect, Airflow, or equivalent).
Who We Are
Schonfeld is a global multi-manager hedge fund that leverages internal and external portfolio manager teams to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income. We invest in proprietary technology, infrastructure and risk analytics to seek risk-adjusted returns for our investors.
Quantitative Developer - Fundamental Equities employer: Schonfeld
At Schonfeld, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Quantitative Developer in our Fundamental Equity COO team, you'll have the opportunity to work closely with investment professionals, utilising cutting-edge AI technologies to enhance productivity and drive impactful results. We are committed to your professional growth, providing access to advanced tools and resources, while promoting a supportive environment that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer - Fundamental Equities
✨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 projects, especially those involving AI integration or dashboard development. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with AI tools and how you've applied them in real-world scenarios. Practice coding challenges to keep your skills sharp!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to reach out directly.
We think you need these skills to ace Quantitative Developer - Fundamental Equities
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with quantitative development and AI integration. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Show Off Your Code Skills:Since writing clean and maintainable code is key for us, consider including links to your GitHub or any projects that demonstrate your Python and SQL prowess. This gives us a peek into your coding style and problem-solving abilities.
Highlight Collaboration Experience:We love team players! Share examples of how you've worked with both technical and non-technical folks in previous roles. This will show us you can bridge the gap between different teams and contribute to a positive culture.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Schonfeld
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and any AI tools mentioned in the job description. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects. Being able to demonstrate your hands-on experience will set you apart.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in quantitative development or analytics engineering. Think about specific instances where you improved processes or created tools that added value. This will highlight your proactive approach and product-minded attitude.
✨Understand the Investment Landscape
Familiarise yourself with fundamental equities and the investment process. Show your intellectual curiosity by discussing recent trends or technologies in finance. This will demonstrate your engagement with the industry and your ability to contribute meaningfully to the team.
✨Be Ready for Collaboration
Since the role involves working closely with quant researchers and other teams, prepare to discuss your collaborative experiences. Think of examples where you’ve successfully communicated complex ideas to non-technical audiences. This will show that you can bridge the gap between tech and business needs.
