M.S. Financial Engineering · New York University · Seeking Full-Time Quant Roles, 2027

Tanishk Yadav
Quantitative Finance
& Machine Learning

Building at the intersection of stochastic modeling, statistical learning, and systematic trading—with a focus on regime-based allocation, point-in-time fundamental data integrity, and signal research that survives walk-forward validation.

Location New York City
Email tanishkyadav@nyu.edu
GitHub tanishhky
LinkedIn tanishkyadav
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Now - Contributing to Prof. David Shimko's Valuation Principles (Wiley) and TA-ing FRE-GY 6103 this fall. Hardening my quant research repos (point-in-time data, no-lookahead backtests, honest statistics) ahead of full-time 2027 recruiting.
01

About

Tanishk Yadav headshot

I’m a Financial Engineering master’s student at New York University (Tandon), with a Computer Science (AI/ML) undergraduate degree from SRM University on a full scholarship. I work across quantitative research and the systems that support it.

My projects cluster around a few themes: options and volatility (model-free risk-neutral moments and a full-stack vol platform), regime detection and capital-preservation risk overlays, point-in-time fundamental data engineering with zero lookahead bias, and time-series econometrics of market structure. Several run as live paper-trading systems, with the no-lookahead discipline enforced in code rather than by convention.

I care about statistical honesty: I would rather report that an effect decays to noise than dress it up. I’m currently contributing to Prof. David Shimko’s valuation textbook and TA-ing his graduate course, and I’m targeting full-time quantitative research roles for 2027.

168
GRE Quant (top 3%)
3.8
Undergrad GPA (100% scholarship)
12+
Public Quant Repositories
2027
NYU MFE, Expected
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Projects

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Selected Experience

Jun 2026 - Present
Quantitative Research & Teaching Assistant
New York University (Tandon), with Prof. David Shimko - New York, NY

Contributing to Valuation Principles (Wiley, forthcoming), Prof. Shimko's graduate valuation textbook: editing and developing chapter content, drafting worked additions, and building the authoring and publishing toolchain. Appointed Teaching Assistant for FRE-GY 6103 (Fall 2026), the graduate course built on the textbook.

Jun 2023 — Aug 2023
Summer Intern, Framework Development
IUDX Logo
IUDX (India Urban Data Exchange) — Bengaluru, India

Developed a secure, cross-platform digital consent collector using SHA-256 cryptographic hashing, ensuring regulatory compliance for the ADeX government platform. Engineered full-stack JavaScript solutions enabling 38 critical datasets for a government-academia joint venture.

2022 — 2023
Student Council PR Convener
SRM Logo
SRM University — Amaravati, India

Represented 10,000+ students as primary liaison to administration. Directed cross-functional teams to execute cultural fests with $100,000+ budgets.

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Skills

Languages
Python C++ SQL R Java JavaScript
Libraries & Frameworks
Pandas NumPy SciPy Statsmodels Scikit-Learn TensorFlow Keras XGBoost
Financial Concepts
Black-Scholes Monte Carlo VaR/CVaR HMM Regimes Tail Hedging Bootstrap Stochastic Calculus Factor Models Walk-Forward Validation
Tools & Platforms
Bloomberg Terminal Git LaTeX Jupyter Excel
ML Techniques
GMM LSTM Random Forest Hierarchical Clustering ARIMA
Certifications
Bloomberg BMC Financial Markets (Honors)
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Education

New York University
M.S. Financial Engineering, Tandon School of Engineering
Brooklyn, NY · Expected May 2027
SRM University
B.Tech CSE (AI & ML) — 100% Scholarship
Amaravati, India · June 2025

Get in touch

Let's build something
quantitatively interesting.

tanishkyadav@nyu.edu (646) 533-4214 GitHub LinkedIn

View on GitHub