Quantitative Analyst (Quant)

About the Role

Our client seeks a highly skilled and innovative Quantitative Analyst (Quant) to join their thriving financial services team in Manchester . In this role, you will be instrumental in developing sophisticated mathematical models and analytical tools to drive trading strategies, risk management, and product development. You will collaborate with traders, portfolio managers, and technology teams to translate complex financial concepts into robust, implementable solutions. This is a fantastic opportunity for a mathematically gifted individual to make a significant impact in a challenging and rewarding environment, based at the heart of the vibrant city of Manchester.

Key Responsibilities

• Design, develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
• Analyze large datasets to identify market patterns, opportunities, and risks.
• Collaborate with front-office teams to understand their needs and translate them into quantitative solutions.
• Write high-quality code in languages such as Python, C++, or R for model implementation and data analysis.
• Conduct rigorous back-testing and validation of developed models.
• Stay current with academic research and industry best practices in quantitative finance.

Requirements

• Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Proven experience (3+ years) as a Quantitative Analyst in the financial industry.
• Expertise in mathematical modeling, statistical analysis, and time series analysis.
• Strong programming skills in Python, C++, or R, and experience with relevant libraries.
• Familiarity with financial markets, derivatives, and trading systems.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Highly competitive salary and substantial annual bonus.
• Comprehensive private medical and dental insurance.
• Generous pension scheme with employer contributions.
• Access to cutting-edge technology and resources.
• Opportunities for professional growth and attending industry conferences.