About Zamrik Quant Research

Zamrik Quant Research is the research arm of Zamrik Quant Lab. It works through five research desks, from market microstructure and derivatives to optimal control, stochastic analysis and applied mathematics, and publishes everything it finds in the open: research papers, notebooks that run on Kaggle, free tools that answer one practical question, and essays.

The team

Zamrik Quant Research is run by a small, independent team, headed by Dr. T. Zamrik. We publish as a house: essays, notebooks and tools are signed by the desk that made them, and research papers name their authors. The team’s work spans stochastic control, partial differential equations, market microstructure, derivatives and statistics.

We are self-funded: no sponsors, no advertisers, no outside capital.

How a piece is made

Every publication passes through the same five functions before anyone outside sees it.

  1. Research. The question comes first; the method follows it.
  2. Data. Sourced, licensed and credited.
  3. Software. Code that re-runs every figure.
  4. Verification. Every number checked two independent ways; notebooks re-run on Kaggle and compared.
  5. Production. The paper, notebook, tool, essay or film.

Track record

  • 40 research papers, 6 with permanent DOIs
  • 10 runnable notebooks, each re-run on Kaggle and compared with our own run: 1,514 numbers checked, 0 mismatches
  • 3 free tools · 77 essays · 29 films on YouTube
  • 5 research desks, and one owner for every piece

Counts are read live from this site; the DOI, Kaggle and film figures come from our records, as of 13 October 2026.

Leadership

Dr. T. Zamrik, Head of Zamrik Quant Research. PhD, Imperial College London (2011). Profile →

Standards and corrections

How we work is set out in our standards. Anything we got wrong, and what we did about it, is in the corrections log.

Contact

Use our contact form to write to the desk whose work you are reading, or write to info@zamrik.com.

Incerta Resolvimus, Optima Decernimus

We resolve the uncertain, we decide the optimal