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Technical
How Market Makers Trade Volatility

Black-Scholes assumes constant volatility, but real markets don't. This article explores how market makers model and trade the implied volatility surface.

Written by
Tsvetomir Novak
5/18/2026
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Career
Can You Think Like a Quant for Ten Minutes?

Jane Street, Optiver, and Citadel, on what separates a strong quant candidate from a prepared one A look inside the quant interview process at top firms, covering how each weighs probabilistic intuition, risk awareness, and the reasoning habits that make candidates stand out.

Written by
Zoya Gorokhova
5/17/2026
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Technical
From Smooth Noise to Sudden Shocks: The Merton Jump-Diffusion Model

The Merton jump-diffusion model extends GBM by adding sudden price jumps, capturing the discontinuous market repricing that continuous models cannot produce.

Written by
Tsvetomir Novak
4/19/2026
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Technical
How Quants Model Unpredictability in Markets. An Introduction to Geometric Brownian Motion

The Law of Large Numbers shows why small backtests deceive traders. Short-term results are unreliable due to noise, and extensive testing is essential.

Written by
Tsvetomir Novak
3/18/2026
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Events
Inside the Mind of a Market Maker

Vincent Vis, options trader and former market maker at Optiver and IMC Trading, broke down how markets actually work in practice — from trading philosophies and risk management to volatility and the moments when models break down, at AQS's recent Options Deep Dive event.

Written by
Zoya Gorokhova
3/18/2026
News Cover
Technical
How small backtests deceive traders: The Law of Large Numbers

The Law of Large Numbers shows why small backtests deceive traders. Short-term results are unreliable due to noise, and extensive testing is essential.

Written by
Tsvetomir Novak
2/15/2026