Founded by a former BlackRock MD who decided Wall Street needed a new AI-powered Operating System (OS). We're the secret sauce behind some of the biggest financial institutions' smartest moves. Think of us as the tech startup that institutional finance actually listens to.
Turn data into decisions for global investors
Ideal candidates enjoy solving complex problems, excel in mathematical reasoning, and appreciate systematic optimization approaches.
Build the operating system of institutional finance
Ideal candidates continuously seek better technical solutions, value clean architecture, and enjoy making complex systems work seamlessly.
Built innovative solutions for his capstone project, gained experience at major financial institutions, and returned to HedgeSPA as Tech Team Lead.
Worked with us during her undergraduate studies and published two papers in top-quartile computer science journals, continuing to collaborate from the UK.
Developed trading strategies that earned recognition in academic papers submitted to top-tier financial mathematics journals, proving quant research has real impact.
Worked on government AI sandboxes to ensure regulatory compliance, then applied this experience to transform AI language interfaces into powerful financial tools.
Translated complex mathematical models into practical tools that real financial professionals can use, making quantitative finance accessible and actionable.
Helped secure UK R&D funding that established our global expansion, demonstrating how innovative ideas can secure substantial institutional investment.
Includes market-competitive salary and employee stock options, providing actual ownership in what you build.
Your contributions directly influence real financial systems and decisions.
PDF format preferred, focus on content over formatting
Demonstrate your learning capability and academic performance
Examples of your technical work and problem-solving approach
Explain your interest and relevant experience
No prior finance experience is required. We provide comprehensive training in financial concepts and institutional practices. We value strong analytical ability and technical skills, which we consider more important than prior finance knowledge.
Yes, many of our most successful team members work across both domains. We value interdisciplinary approaches and encourage team members to develop skills in both quantitative finance and technical development.
We review applications on a continuous basis and typically respond within two weeks. For promising candidates, we aim to complete the interview process within four weeks. We maintain flexibility to accommodate academic schedules and other commitments.
This position involves meaningful technical work that influences real financial systems, not peripheral administrative tasks. You will work on substantive projects alongside experienced professionals who have operated at the highest levels of institutional finance.
If you are prepared to move beyond observational roles and begin building substantive financial technology systems, we invite you to apply.