Quant & Data Science

Senior eTrading Risk Developer - Global Systematic Hedge Fund

Senior eTrading Risk Developer - Global Systematic Hedge Fund

  • Location

    London

  • Sector:

    Quant & Data Science

  • Job type:

    Permanent

  • Salary:

    £150000 - £300000 per annum + Total Comp

  • Contact:

    Holly Horton

  • Contact email:

    hhorton@vertuspartners.com

  • Job ref:

    RD/_1716198331

  • Published:

    about 1 month ago

  • Expiry date:

    2024-06-19

  • Consultant:

    ConsultantDrop

A leading global systematic hedge fund are looking for an experienced eTrading Risk Developer as they continue to expand their global operations.

You will play a pivotal role in the development and enhancement of a new Risk function. You will be responsible for designing, implementing, and maintaining risk management solutions for their electronic trading systems using Java and Python. This role involves close collaboration with traders, quants, risk managers, and other technologists.

Key Responsibilities:

  1. Development and Implementation:

    • Design and develop robust risk management tools and frameworks for eTrading activities using Java and Python.
    • Implement real-time monitoring and alerting systems to detect and respond to risk events.
    • Develop APIs and integration layers to ensure seamless communication between trading platforms and risk management systems.
  2. System Architecture and Optimization:

    • Architect and optimise high-performance, low-latency trading risk management solutions.
    • Ensure scalability and reliability of the risk management systems to handle large volumes of trading data.
    • Work on the continuous improvement of system performance, resilience, and fault tolerance.
  3. Risk Analytics and Modeling:

    • Collaborate with Quant Analysts to integrate advanced risk models and analytics into the risk management systems.
    • Develop tools for real-time risk assessment, scenario analysis, and stress testing.
    • Implement machine learning algorithms to enhance predictive risk analytics and anomaly detection.
  4. Collaboration and Communication:

    • Work closely with front office traders and portfolio managers to understand their risk management needs and provide technical solutions.
    • Liaise with risk managers to ensure alignment with overall risk policies and regulatory requirements.
    • Engage with IT and infrastructure teams to ensure robust deployment and maintenance of risk management applications.

Technical Skills and Qualifications:

  • Extensive experience in software development, specifically in Java and Python.
  • Strong understanding of electronic trading systems, market microstructure, and risk management principles.
  • Proficiency in developing high-performance, low-latency systems and real-time data processing.
  • Experience with databases (SQL and NoSQL), message queuing systems (Kafka, RabbitMQ), and in-memory data grids (Redis, Hazelcast).
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong communication and collaboration skills, with a proactive approach to addressing technical and business challenges.