Quantitative Analyst (Quant)

About the Role

Our client, a leading fintech company, is seeking a highly skilled Quantitative Analyst (Quant) to join their innovative team in Glasgow . This role is central to developing and implementing sophisticated quantitative models for trading strategies, risk management, and pricing complex financial instruments. You will leverage advanced mathematical and statistical techniques to derive insights and drive algorithmic solutions in a fast-paced, technology-driven environment. This is an ideal opportunity for a mathematically gifted individual passionate about applying cutting-edge quantitative methods to solve real-world financial challenges.

Key Responsibilities

• Design, develop, and implement quantitative models for pricing, risk management, and algorithmic trading.
• Perform statistical analysis and back-testing of trading strategies and models.
• Collaborate with traders, developers, and other quants to deploy and refine models in production.
• Analyze large datasets to identify patterns, opportunities, and potential risks.
• Stay abreast of the latest advancements in quantitative finance and machine learning.

Requirements

• Advanced degree (Master's or PhD) in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
• Proven experience (3+ years) as a Quantitative Analyst or in a similar quant role.
• Strong programming skills in languages such as Python, C++, or R, with experience in scientific libraries.
• Solid understanding of stochastic calculus, probability theory, and statistical modeling.
• Excellent problem-solving abilities and a meticulous attention to detail.

Benefits

• Competitive salary and a generous performance-based bonus structure.
• Stock options and equity participation opportunities.
• Cutting-edge technology and research resources.
• Comprehensive healthcare benefits.
• Vibrant and collaborative work culture in Glasgow .