Quantitative Java Developer

Job Title: Quantitative Java Developer
Location: Central London
Client: Multi-Strategy Investment Manager
About the Client:
Our client is a leading multi-strategy investment manager committed to leveraging cutting-edge technology and quantitative strategies to deliver innovative solutions to their clients. They are dedicated to fostering a collaborative and intellectually stimulating environment where talented professionals can thrive and make a meaningful impact.
Position Overview:
The client is seeking a highly skilled Quantitative Java Developer to join their dynamic team. The ideal candidate will have 5 to 8 years of experience as a mid-level Quantitative Java Developer, with a strong background in Java development within the quantitative finance domain. Candidates should have a proven track record of contributing to quant systems and possess a deep understanding of quantitative methodologies.
Responsibilities:

• Collaborate with quantitative researchers and traders to design, develop, and implement sophisticated trading strategies and models.
• Build and maintain high-performance, low-latency trading systems using Java and related technologies.
• Conduct quantitative analysis and research to enhance existing trading algorithms and develop new ones.
• Optimise and streamline trading infrastructure to improve efficiency and reliability.
• Work closely with cross-functional teams to ensure seamless integration of quantitative models into trading platforms.

Requirements:

• Bachelor's, Master's, or PhD degree in Computer Science, Mathematics, Physics, Engineering, or a related field from a Russell Group university.
• 5 to 8 years of experience as a mid-level Quantitative Developer in the financial industry.
• Proficiency in Java programming language with a focus on quantitative finance applications.
• Strong understanding of mathematical and statistical concepts, including stochastic calculus, probability theory, and time series analysis.
• Experience with quantitative libraries and frameworks such as Apache Commons Math, QuantLib, or similar.
• Familiarity with version control systems (e.g., Git) and software development best practices.
• Excellent communication skills and ability to work effectively in a collaborative team environment.

Preferred Qualifications:

• Experience with low-latency trading systems and high-frequency trading strategies.
• Knowledge of other programming languages such as Python, C++, or R.
• Familiarity with distributed computing frameworks like Apache Spark or Hadoop.
• Understanding of financial markets, trading instruments, and risk management principles.

Benefits:

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous vacation and paid time off policies.
• Retirement savings plan with employer matching.
• Professional development opportunities and tuition reimbursement.
• Vibrant company culture with social events, team outings, and community involvement initiatives.

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