Quantitative Engineer - Greater London, United Kingdom - Quadra

Description

Join the Quadra Family: Quantitative Engineer Role Open

On-Site in London

We're on the lookout for: A passionate and talented quantitative engineer/developer, who is well-versed with Java.

Why Quadra?

Introducing Quadra, a ground-breaking platform at the intersection of institutional investment and the crypto frontier. We're in the business of delivering top-tier end-to-end solutions for our clients. By interfacing directly with global crypto exchanges, custodians, and liquidity providers, we present a full suite of execution and portfolio management tools. Our advanced risk management offerings are custom-crafted for the rapidly evolving digital asset markets, ensuring our clients always have a competitive edge.

Job Description:

We are seeking a seasoned Quantitative Engineer with a strong background in algorithmic trading frameworks and a deep understanding of low-latency, event-driven architecture. The ideal candidate will have extensive experience in financial markets or high-frequency trading, with a proven track record of developing, implementing, and improving algorithms for execution.

Responsibilities:

• Develop and improve our proprietary algorithmic execution infrastructure.
• Architect and optimize low-latency, event-driven trading systems.
• Create and validate our in-house predictive models using advanced statistical techniques.
• Implement security and data protection measures within our algorithmic trading framework.
• Develop tools for automation, data analysis, and model evaluation.

Qualifications:

• Degree in Computer Science, Engineering, Mathematics, Statistics, Financial Engineering, or related fields. Master's or Ph.D. is a plus.
• Extensive experience in algorithmic trading and high-frequency trading environments.
• Proficiency and experience using Java to build, maintain and productionise trading frameworks.
• Expertise in low-latency event-driven architectures and real-time systems.
• Strong understanding of financial markets and trading systems.
• Strong quantitative and analytical skills, with the ability to solve complex problems.
• Excellent communication skills with the ability to articulate complex technical concepts to non-technical team members.

Preferred Qualifications:

• Familiarity with AWS microservice architecture and cloud-based colocation.
• Experience with modern CI/CD tools.

What We Offer:

At Quadra, we provide a competitive salary, a collaborative work environment, and ample opportunities for personal and professional growth.

Quadra is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants are encouraged to apply. We look forward to meeting you and discovering how you can contribute to our team's success