This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Quantitative Researcher - Option based in United Kingdom.

As a Quantitative Researcher specializing in options, you will develop advanced pricing models, research strategies, and quantitative solutions for sophisticated trading environments. You will work at the intersection of mathematics, financial engineering, and technology, contributing to the design and optimization of options products and trading strategies. This role offers the opportunity to solve complex quantitative challenges, from volatility modeling and risk analysis to strategy development and implementation. Working closely with engineering and trading teams, you will help transform research ideas into scalable production solutions. If you are passionate about quantitative finance, algorithmic trading, and applying analytical expertise to innovative markets, this position provides an exciting opportunity in a global, fast-paced environment.

• Develop and implement quantitative research solutions for options pricing, risk management, and trading strategies, covering the full lifecycle from ideation to production deployment.
• Design, maintain, and improve options valuation models, including volatility surface modeling, Greeks calculations, and advanced pricing frameworks for complex derivatives.
• Conduct research into implied volatility behavior, volatility arbitrage opportunities, and options market microstructure across traditional and digital asset markets.
• Collaborate closely with software engineers and trading teams to ensure efficient implementation of quantitative models and strategies into trading platforms.
• Participate in the development of new financial products by contributing to modeling, parameter optimization, risk assessment, and strategy refinement.
• Analyze trading data, market behavior, and quantitative signals to identify opportunities for improving pricing accuracy and trading performance.
• Continuously evaluate new methodologies, technologies, and research approaches to enhance quantitative capabilities.

• 4+ years of experience as a Quantitative Researcher, Quantitative Analyst, or similar role, with demonstrated expertise in options pricing research and financial modeling.
• Master's degree or higher in Mathematics, Statistics, Financial Engineering, Quantitative Finance, or another relevant quantitative discipline.
• Strong practical knowledge of options pricing methodologies, including Black-Scholes, binomial models, Monte Carlo simulations, and stochastic volatility models such as Heston or SABR.
• Experience developing and implementing quantitative models using programming languages such as Python or similar analytical tools.
• Strong analytical and problem-solving skills, with the ability to tackle complex mathematical challenges in a fast-paced environment.
• Experience with financial markets, hedge funds, investment firms, trading houses, brokerages, or similar environments is highly valued.
• Knowledge of trading data processing, price forecasting, machine learning algorithms, or decentralized exchange (DEX) trading is an advantage.
• Excellent communication skills in English, with the ability to collaborate effectively with international teams and stakeholders.
• Strong academic background, intellectual curiosity, and a passion for continuous learning and innovation.

• Fully remote work arrangement with flexibility depending on business requirements.
• Opportunity to contribute to the future of global digital asset and financial technology markets.
• Work alongside talented quantitative researchers, engineers, and financial professionals in an international environment.
• High-impact role with ownership over complex quantitative projects and innovative trading solutions.
• Access to continuous learning opportunities and career development in a rapidly evolving industry.
• Competitive salary package and comprehensive employee benefits.
• Collaborative, results-driven culture with autonomy and opportunities to make meaningful contributions.