Aditi Narware — Associate Consultant
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.
Stackforce AI infers this person is a Fintech professional specializing in quantitative analysis and structured credit.
Location: New York City, New York, United States
Experience: 6 yrs 1 mo
Skills
- Fixed Income Trading
- Python (programming Language)
- Market Microstructure
- Fixed Income
- Etfs
- Statistical Modeling
- Machine Learning
- Risk Models
Career Highlights
- Expert in structured credit and quantitative finance.
- Proficient in Python and machine learning applications.
- Strong analytical skills with a focus on risk pricing.
Work Experience
University of California, Berkeley, Haas School of Business
Graduate Student Instructor (2 yrs 9 mos)
Morgan Stanley
Quantitative Strategist – Securitized Products Group (3 yrs 1 mo)
Fixed Income Fall Associate (3 mos)
BondBloxx
Industry Project - ETF (3 mos)
Goldman Sachs
ALM Strategist, Corporate Treasury (1 yr 4 mos)
Data Scientist, Corporate Treasury (1 yr 5 mos)
FinMechanics
Summer Associate - Capital Valuation Adjustment (2 mos)
Education
Master's degree at University of California, Berkeley, Haas School of Business
Bachelor of Technology (BTech) at Indian Institute of Technology, Delhi
Fellowship program at Training and Competitions by Correlation One
High School at Macro Vision Academy, Burhanpur
Master's degree at University of California, Berkeley
