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Senior Algo Quant

Cantor Fitzgerald Securities

Job Description

We are looking for a Lead Algorithmic Developer to join a high-performing team of software engineers and quantitative research specialists dedicated to designing, building, maintaining, and supporting a multi-asset Algorithmic Trading Platform.

In this role, you will lead the evolution of our existing framework through continuous maintenance, optimization, and enhancements. You will drive the implementation of ongoing client requests, partner closely with business coverage teams, and provide guidance to technical support groups to ensure seamless platform functionality and client satisfaction.

Responsibilities

  • Maintain the algorithmic framework code base and improve the project's code structure, test coverage and performance characteristics.
  • Maintain and update project documentation and specifications.
  • Work closely with the QA team on new releases and perform new release deployments to Production environment.
  • Assist production support team in their daily activities and provide second level of support for multiple asset classes.
  • Implement new requirements.
Qualifications
  • Strong understanding of data structures, algorithms, and computational complexity, with the ability to apply them in latency-sensitive trading environments.
  • Solid knowledge of software design patterns, architectural principles, and scalable system design.
  • Familiarity with software testing methodologies, including unit testing, integration testing, and test-driven development.
  • Hands-on experience with electronic trading platforms and front-office technologies, including FIX protocol, reference data, and order management systems (OMS).
  • Proficiency in Core Java, including multithreading, concurrency, and low-latency programming techniques.
  • Experience with Continuous Integration / Continuous Delivery pipelines using tools such as Git and Maven.
  • Strong ability to debug, profile, and performance-tune Java applications in production and pre-production environments.
  • Comfortable with Unix/Linux command-line tools, shell scripting, and system-level troubleshooting.
  • Deep appreciation for clean, maintainable, and well-tested code, following modern engineering best practices.
  • Strong sense of ownership, with a delivery-focused mindset and the ability to drive features from concept to production.
  • Experience leading, coaching, and mentoring junior developers, fostering strong engineering culture and technical excellence.
  • Prior exposure to benchmarking and tuning algorithmic trading strategies, with an understanding of market microstructure and execution quality metrics.
Vacancy posted 4 days ago
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