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
SSRN Preprints
12+
Public Quant Repositories
2027
NYU MFE, Expected
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Projects & Research

Also built

03

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.

Earlier roles (framework-development internship, student-council leadership) are on the Background page.

04

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

Full certifications, coursework, and resume are on the Credentials page.

05

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