Aditi Narware

Background

About Aditi Narware

Credit markets are complex, layered, and constantly shifting — that’s exactly what draws me to them.I work in structured credit, focused on CMBS, at Morgan Stanley SPG trading desk. My days sit close to the pulse of the market: pricing risk, building analytical frameworks, and translating noisy data into clarity.I was trained as a mathematician and financial engineer — B.Tech in Mathematics & Computing from IIT Delhi, MFE from UC Berkeley (Haas). I’ve built statistical and machine learning models in the field of finance, and I work fluently in Python, SQL, and kdb/q. More recently, I’ve been integrating LLMs into structured credit workflows to rethink how research and analysis get done.I’m energized by environments where rigor meets speed, where ideas are challenged, and where building better systems creates real edge. My interests span credit and fixed income broadly — from established investment platforms to fintech and technology-driven firms reshaping how these markets operate.If you’re building in this space, let's connect: aditi_narware@berkeley.edu.