Option Quant

Location: Remote (with presence in London & Milan)

About the Role We’re seeking a driven, technically strong Options Quant to join our growing trading team. You’ll design and enhance pricing, execution, and risk models for options across multiple markets — with direct impact on live performance. This role blends quant research, coding, and market intuition. You’ll collaborate with traders and engineers to develop production-ready models and strategies within a high-talent, low-ego environment.

Tasks

Key Responsibilities • Research, design, and implement options pricing and volatility models. • Build and optimize simulation, backtesting, and research pipelines. • Analyze market microstructure and volatility dynamics to identify trading opportunities. • Design and maintain core quant components - pricing engines, execution algorithms, and risk controls. • Run post-trade analysis to refine models and improve performance. • Apply advances in ML, optimization, and statistics to live trading problems.

Requirements

Requirement: • 3–7 years in quant research, derivatives pricing, or options trading (crypto preferred). • Strong grasp of mathematics, statistics, and optimization. • Deep understanding of options theory, risk management, and execution logic. • Self-directed, analytical, and collaborative - thrives in fast-paced, flat environments. • Programming skills in high level languages (Python).

Not a requirement, but a plus: • Programming skills in low level languages (GoLang). • Prior experience in algorithmic or high-frequency trading. • Experience with signal extraction from high-frequency or noisy data. • Understanding of crypto markets and decentralized finance.

Benefits

Why Join Us • Immediate impact: Your models go live fast with direct P&L visibility. • Elite peers: Work alongside experienced traders, researchers, and engineers. • Top-tier rewards: Competitive compensation with strong performance upside. • Community: Regular on-sites in London/Milan and annual offsite in a luxury location.

Please note that we will test your quantitative and programming skills in-person.