Senior Quantitative Researcher, Options

Overview

We are looking for Quantitative Researcher to join our Options stream. The role demands sharp analytical skills, a relentless commitment to excellence, and a passion for uncovering hidden patterns in the data, and prior experience in options. If you are driven by intellectual challenges and thrive in solving complex problems, this role offers an unparalleled opportunity. Our team values determination, precision, and the ability to think critically and creatively. While the work is demanding, the rewards are significant, both in the impact of your contributions and the growth you’ll achieve in this collaborative and high-performance environment. We rely on people’s autonomy and provide freedom to create the best algorithms in finance, while truly being attentive to a fundamentally important asset - communication.Location

London, UK (Hybrid mode with 3 days in-office requirement)

Responsibilities

Lead the research and development of systematic options trading strategies across US and global markets.

Apply advanced options pricing models, volatility surface modeling, and risk-neutral frameworks to generate alpha.

Conduct rigorous backtesting, stress testing, and statistical validation of strategies.

Collaborate with technologists to implement research into production-ready trading systems with robust execution.

Enhance portfolio construction and risk management frameworks for options books.

Contribute to the evolution of Teza’s options research platform, embedding innovation into live strategies.

Mentor junior researchers and drive the continuous improvement of research practices, infrastructure, and tools.

Basic Requirements

Physics, Mathematics, Computer Science, Engineering or other technical degree

Minimum of 4 years of quantitative research or trading experience in systematic trading

Deep expertise in options, including volatility surface, and derivatives pricing methods

Strong programming skills in Python, with experience handling large, complex datasets

Solid understanding of risk management principles in derivatives trading

Ability to work effectively across research, trading, and technology teams

Exceptional analytical, problem-solving, and critical-thinking skills

Nice to have Requirements

PhD in Physics, Mathematics, Computer Science, Engineering or similar area

Experience deploying systematic options strategies into production trading environments

Familiarity with market microstructure and low-latency execution in derivatives

Knowledge of machine learning techniques and their application to options trading

Experience mentoring or leading a quant research team

What you’ll get

On-site presence of experienced and skilled Portfolio Managers to brainstorm with

What makes you a match

You are a stellar professional at what you do

Difficult problems make you excited

You have a lot of passion and drive

Health insurance

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