Uncertainty First
Models are stories about uncertainty. We focus on distributions, tails, and robust decision rules.
About
A systems‑first platform for quantitative finance.
Quant with Vahab helps you think like a builder: understand risk, translate uncertainty into decisions, and design models you can trust in production.
What this platform is
This platform is built around a simple idea: quantitative finance is not just formulas — it is systems thinking under uncertainty. We focus on the full loop: modeling, decision rules, evaluation, governance, and the operational realities that turn a model into a decision engine.
You will find structured explanations, interactive visuals, and long‑form material that bridges theory and practice. The goal is not to overload you with math, but to build deep intuition and practical judgment.
Who it is for
Analysts, quants, and builders who want a rigorous but practical approach to modeling and risk. Also useful for engineers and product thinkers who need a quant mental model.
What you will learn
Pricing intuition, stochastic modeling, validation workflows, governance‑ready reporting, and the system design patterns behind robust quant stacks.
How it is structured
Glossary concepts, interactive visualizations, and Quarto‑based playbooks. Each module is designed to be short, focused, and actionable.
Core Principles
How the platform thinks
Four design rules that shape every glossary entry, visual, and playbook. Each one keeps theory grounded in real‑world constraints.
Transparent Assumptions
Every assumption is explicit and testable. If you can’t defend it, it doesn’t ship.
System Realism
Models must survive production constraints: data latency, execution costs, governance, and monitoring.
Evaluation Discipline
Baselines, stress tests, and drift checks are non‑negotiable. You earn trust through evidence.
What’s Inside
A structured learning library
A compact set of assets designed for fast intuition, deep dives, and system‑level practice.
Glossary
Concise definitions with interactive visuals to build intuition quickly and safely.
Playbooks
Long‑form guides that connect theory to desk‑level workflows and governance.
Methods
Stochastic modeling, optimization, calibration, and validation explained with clarity.
Systems
Architecture patterns for pricing, risk, monitoring, and reproducibility.
About Me
Vahab Rostampour, PhD
Researcher, quant, and builder of decision systems.
I work at the intersection of mathematics, control, and finance, turning models into practical systems you can trust. My focus is on decision‑ready workflows: uncertainty, constraints, validation, and monitoring are built in from day one.
This platform is where I share the methods, patterns, and explanations I wish I had early in my career.