Quantitative Analyst

1 week ago


Bexley, United Kingdom Ncounter Ltd Full time
Quant Developer Opportunity

We are seeking an experienced Quant Developer to join our innovative team in London. This role presents a unique opportunity to collaborate with traders, modellers, and engineers in designing advanced pricing algorithms for an evolving market landscape.

About the Team

Our multidisciplinary team comprises quantitative analysts, data analysts, data scientists, product specialists, developers, and testers. We are dedicated to developing and producing high-quality data that supports our Market Data business, ensuring the highest standards for both internal and external stakeholders.

Key Responsibilities:
  • Collaborate closely with traders and other team members to design and implement pricing algorithms.
  • Construct and maintain test data for regression testing and back-casting of algorithms.
  • Provide support and assist in troubleshooting issues as they arise.
  • Continuously improve and optimize existing models and algorithms to ensure top performance.
  • Stay up-to-date with the latest developments in quantitative finance and technology to enhance our solutions.
Requirements:
  • Proficient in the development of pricing models within an application development framework.
  • Experience in using and contributing to Quantitative Libraries.
  • Strong skills in the development and integration of pricing models.
  • Experience in electronic trading systems and execution platforms.
  • Familiarity with execution and hedging algorithms.
  • Knowledge of container frameworks and associated tooling.
  • A strong background in pricing analytics with expertise in at least one asset class (Sovereign Debt preferred).
  • Experience working in real-time event-driven environments.
  • Proven track record of data-driven development, including unit testing, mocking, and back-testing.
  • Strong programming skills in C++; experience with additional languages will be a plus (e.g., Python, KDB+/Q, C#, C).
  • Experience with relational and NoSQL databases, particularly KDB (ideal), Oracle, Sybase, Cassandra, or others.
  • Demonstrated willingness to learn new languages and technologies as required.


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