Neal Agarwal
Chicago
Summary
Early-career markets professional with hands-on exposure to fixed-income and interest-rate trading at Wells Fargo Securities. Worked on pricing tools and hedging analysis using Python and statistical models, developing a strong foundation in risk framing, market behavior, and data-driven decision-making.
Overview
2
2
years of professional experience
Work History
Interest Rate Cash/Swaps Trader
Wells Fargo Securities
Charlotte
06.2024 - 10.2024
- Acquired knowledge of options theory, swaps, and forward price mechanics on Interest Rate Desk.
- Built strong relationships with brokers in Interest Rate Swaps and Options markets.
- Analyzed dealer and broker flow to enhance hedging strategies.
- Studied Fixed Income and Equity markets alongside derivatives products.
- Participated in pit trading games to simulate market-making scenarios.
Fixed Income Trading Intern
Wells Fargo Securities
Charlotte
06.2023 - 08.2023
- Developed CLO pricing tool forecasting discount margin within nine basis points accuracy.
- Created regression model to analyze yield curve, evaluating sectors as rich or cheap.
- Identified innovative methods for predicting 15-year swap rates and optimizing hedging strategies.
Private Wealth Management Intern
Morgan Stanley
Chicago
06.2022 - 08.2022
- Collaborated with corporate client and alternative investment teams to secure minimum five percent return.
- Analyzed coupons, cash flow, and compounded yield on municipal, corporate, and treasury bonds using Excel.
- Updated Salesforce to record client's redeemable bonds and future purchases accurately.
Weeklong Course
Akuna Capital
Chicago
01.2023
- Participated in Akuna's options 201 trading course, completing desk shadowing and quizzes.
- Studied options theory, focusing on financial data analysis and historical/implied volatility.
- Analyzed volatility and outright options while exploring skew concepts.
Education
Bachelor of Science - Statistics
Northwestern University
Evanston, IL07-2024
Master of Science - Sports Analytics
Northwestern University
Evanston, ILSkills
- Python scripting
- Market research
- Interest rate analysis
- Fixed income trading
- Pandas data manipulation
- NumPy calculations
- Statistical Modelling
- SQLite databases
- Excel optimization tools
- SQL operations
Projects
Predicting NBA Totals: Scrape data daily from stats reference, yahoo sports, NBA.com to acquire a dataset of team attributes such as FG%, 3P%, FGA, Possessions per game, Pace, FG Opponents Allowed, and more. Utilize Gemini API to scrape daily NBA injury reports and updates to check for injuries and rotation updates, adjust team attributes based on this information. Build a possession-level model estimating likelihood of 2PT vs. 3PT attempts by integrating team shooting metrics with opponent defensive profiles., Create a random simulation using the variance of historic rolling team performance to generate game outcome distributions and evaluate edge vs. market totals.
Additional Skills Interests
Poker: $6,000+ Tournament Earnings (Hendon Mob), Top-10 finishes in WSOPC PLO Tournaments, $20,000+ PLO earnings (cash)
Startup: 50% equity in GovTech startup where I built the core algorithm and AI prompts.
Timeline
Interest Rate Cash/Swaps Trader
Wells Fargo Securities
06.2024 - 10.2024
Fixed Income Trading Intern
Wells Fargo Securities
06.2023 - 08.2023
Weeklong Course
Akuna Capital
01.2023
Private Wealth Management Intern
Morgan Stanley
06.2022 - 08.2022
Bachelor of Science - Statistics
Northwestern University
Master of Science - Sports Analytics
Northwestern University