Tucker Strow

Finance PhD Student

Generalist mindset. Data‑driven. Clean methods, clear writing, and reproducible workflows.

Resume‑centric site — no publications yet
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About

I’m a first‑year Finance PhD student focused on building strong fundamentals in theory, econometrics, and research hygiene. I like simple models that travel, careful measurement, and code that explains itself.

This site is a tidy, single‑file snapshot pulled from my CV. It’ll grow as I do.

Curriculum Vitae — Snapshot

Print this page to PDF for a quick shareable copy. Content adapted from my current CV.

Summary

Early‑stage researcher with strong quantitative training and practical finance experience. Interested in markets, data, and decision‑making. I value reproducible analysis and transparent documentation.

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Education

  • PhD in Finance — The University of Texas at Austin (McCombs), Aug 2025 – Present
  • Master’s of Financial Economics — Utah State University, Aug 2024 – May 2025 · Graduate Research Fellow, Center for Growth and Opportunity · Investment Practicum handling MBS for a $150k+ portfolio
  • B.S. in Finance & Economics (4.0, Summa Cum Laude) — The University of Texas at Dallas, Aug 2021 – May 2024 · National Merit Scholar, Honors College

Experience

Kinder Morgan — Rotational Finance Intern

May 2024 – Aug 2024
  • Updated and re‑configured 2025 budgets for OSG departments; built cleaner data‑pull formats.
  • Quality‑assurance checks and automated ESG reports in Excel VBA.
  • Explored creation and monetization of RINs within Energy Transition Ventures (ETV).

Sunoco LP — Finance Intern (FP&A)

May 2023 – Aug 2023
  • Partnered with data analytics and sales teams; collaborated with Energy Transfer finance.
  • Automated reporting and summaries using Excel VBA and Python.
  • Investigated system discrepancies and double‑counting in reporting pipelines.

Programming

  • Languages & Core Tools: Java; JavaScript; CSS; HTML; Python; R; SQL; Stata; Pandas; Excel VBA
  • Data/Visualization: Tableau; (Python/R plotting stacks)
  • Concepts: Time series (ARMA, ACF/PACF), tree‑based models, forecasting
  • Workflow: Git, reproducible scripts, clear README and changelogs

Selected Coursework

  • Econometrics II (PhD)
  • Advanced Financial Economics
  • Business Analytics with R
  • Advanced Statistics for Data Science
  • Markets and Trading
  • Financial Information & Analysis
  • Financial Modeling
  • Managerial & Financial Accounting
  • Business & Economic Forecasting
  • Microeconomic Theory
  • Econometrics
  • Intermediate Macro & Micro
  • Multivariable Calculus
  • Linear Algebra

Standardized Tests

  • GRE: 336 (V 167, Q 169, AW 5.5)
  • ACT: 36

Extracurriculars

  • Graduate Research Fellow — Center for Growth and Opportunity (Aug 2024 – May 2025); energy policy research on environmental credits (RINs).

Contact

If you’d like to chat about research ideas or collaboration, reach out.

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