Yousif A.
Quantitative Developer @Dialectic
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WORK HISTORY
Quantitative Developer @Dialectic
Zug, CH
Built an agentic AI due diligence system and interactive dashboard to vet new investment opportunities, orchestrating multiple LLMs through a structured prompt pipeline with MCP tool use to autonomously aggregate documentation, financial data, news, and returns history into structured reports, saving around 50% of PM time per opportunity.• Developed a production MCP server end-to-end, providing 100+ tools with Redis-backed OAuth and session management, Kubernetes manifests, and full integration and unit test suite, now adopted firm-wide.• Architected over 20 standardised interfaces using abstract base classes, enabling rapid expansion of a proprietary yield optimisation system with live market data, real-time position tracking, and automated execution scripts.• Overhauled codebase standards by introducing uv, ty, and ruff, enforcing abstract base classes for consistency, and implementing CI/CD pipelines with automated ArgoCD deployments, reducing friction to deployment.• Engineered real-time cross-asset interest rate simulations, enabling accurate assessment of capital allocation.
EDUCATION
Imperial College London
Master of Science - MSci
King's College School Wimbledon
A Levels
ABOUT YOUSIF A.
As a mathematics student at Imperial College London, I am passionate about applying my knowledge and skills in probability, data science, and applied mathematics to real-world problems. I am on track to achieve a First Class Honours by some margin, thanks to my dedication and curiosity. I have gained valuable experience in the financial industry through internships at Maven Securities and SPX Capital, where I have developed and tested models for trading interest interest rate swaps, created interactive dashboards for analysing live tick data, and had hands-on options trading experience. I have also showcased my creativity and innovation through various Python projects on my GitHub page, such as a Jaffa Cake classifier that won me a First Year Project Prize. I am eager to learn more and explore new challenges in the field of quantitative finance.
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