Senior KDB+/q Engineer - Real-Time Market Data Systems in London
Senior KDB+/q Engineer - Real-Time Market Data Systems

Senior KDB+/q Engineer - Real-Time Market Data Systems in London

London Full-Time 72000 - 108000 £ / year (est.) No home office possible
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Korn Ferry

At a Glance

  • Tasks: Design and maintain high-performance KDB+ systems for real-time market data.
  • Company: Leading global financial institution with a focus on innovation.
  • Benefits: Competitive daily rate, flexible working arrangements, and opportunities for professional growth.
  • Why this job: Join a dynamic team and make an impact in the fast-paced world of finance.
  • Qualifications: Extensive KDB+/q experience and strong Linux skills required.
  • Other info: Exciting role with potential for career advancement in a cutting-edge environment.

The predicted salary is between 72000 - 108000 £ per year.

Rate: up to £900 a day inside IR35

We are working with a leading global financial institution on a senior hire within their Real Time market data engineering team. This role is focused on building and operating low-latency, high-performance KDB+ platforms that support mission-critical trading, analytics and monitoring use cases.

Responsibilities

  • Design, develop and maintain large-scale KDB+/q systems for Real Time and historical market data
  • Build and operate tickerplants (TP), Real Time processes (RTP), and HDBs, including recovery and log replay
  • Implement performant time-series data models, schemas, and APIs
  • Optimize q code for latency, throughput, and memory efficiency
  • Develop Real Time and batch pipelines for tick data ingestion, normalization, and enrichment
  • Work closely with quants and stakeholders to productionise analytics and trading signals
  • Support and troubleshoot production KDB systems on Linux, including participation in on-call rotations

Qualifications

  • Extensive hands-on experience with KDB+/q in a production environment
  • Proven experience designing or operating Real Time tick data systems
  • Strong knowledge of:
  • Tickerplant architectures and recovery models
  • Time-series joins (eg as-of joins)
  • Attributes, iterators/adverbs, and performance internals
  • Experience building low-latency systems where performance matters
  • Strong Linux/Unix skills, including debugging running processes
  • Senior KDB+/q Engineer - Real-Time Market Data Systems in London employer: Korn Ferry

    As a leading global financial institution, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and collaboration. Our employees benefit from competitive rates, extensive professional development opportunities, and the chance to work on cutting-edge technology in a fast-paced environment, all while being part of a team that values their contributions and supports their growth.
    Korn Ferry

    Contact Detail:

    Korn Ferry Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Senior KDB+/q Engineer - Real-Time Market Data Systems in London

    ✨Tip Number 1

    Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to KDB+/Q engineering. You never know who might have a lead on that perfect role!

    ✨Tip Number 2

    Show off your skills! Create a portfolio showcasing your KDB+/Q projects, especially those involving low-latency systems. This will give potential employers a taste of what you can bring to their team.

    ✨Tip Number 3

    Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with tickerplants and time-series data models. Practising common interview questions can help you feel more confident.

    ✨Tip Number 4

    Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.

    We think you need these skills to ace Senior KDB+/q Engineer - Real-Time Market Data Systems in London

    KDB+/q
    Low-Latency System Design
    High-Performance Computing
    Tickerplant Architectures
    Time-Series Data Modelling
    API Development
    Data Ingestion and Normalisation
    Performance Optimisation
    Linux/Unix Proficiency
    Debugging Skills
    Real Time Data Processing
    Batch Processing
    Collaboration with Quants
    Production Support

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV highlights your experience with KDB+/q and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!

    Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about real-time market data systems and how your background makes you a perfect fit for our team. Keep it engaging and personal.

    Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially related to low-latency systems or KDB+/q. We love seeing how you think on your feet and come up with innovative solutions!

    Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!

    How to prepare for a job interview at Korn Ferry

    ✨Know Your KDB+/q Inside Out

    Make sure you brush up on your KDB+/q skills before the interview. Be prepared to discuss your hands-on experience with real-time systems and be ready to dive deep into specific projects you've worked on. Highlight any challenges you faced and how you overcame them.

    ✨Understand the Role of Tickerplants

    Since this role involves building and operating tickerplants, it’s crucial to understand their architecture and recovery models. Be ready to explain how you’ve designed or operated similar systems in the past, and think about how you can contribute to optimising these processes.

    ✨Showcase Your Problem-Solving Skills

    Prepare to discuss scenarios where you had to troubleshoot production KDB systems. Think of specific examples where your Linux/Unix skills came into play, especially in debugging running processes. This will demonstrate your ability to handle high-pressure situations effectively.

    ✨Communicate with Quants and Stakeholders

    This role requires collaboration with quants and stakeholders, so be ready to talk about your experience working in cross-functional teams. Share examples of how you’ve successfully productionised analytics and trading signals, and emphasise your communication skills.

    Senior KDB+/q Engineer - Real-Time Market Data Systems in London
    Korn Ferry
    Location: London
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