Quantitative Developer - Algo Vol Trading- World-Leading Hedge Fund (London)
Quantitative Developer - Algo Vol Trading- World-Leading Hedge Fund (London)

Quantitative Developer - Algo Vol Trading- World-Leading Hedge Fund (London)

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to develop cutting-edge options trading systems using C++.
  • Company: Work with a world-leading hedge fund known for innovation in finance and technology.
  • Benefits: Enjoy a fast-paced environment, mentorship opportunities, and the chance to shape trading strategies.
  • Why this job: Be at the forefront of finance technology, collaborating with experts and making a real impact.
  • Qualifications: Bachelor's or Master's in Computer Science or Mathematics; 10+ years in automated options trading systems.
  • Other info: Ideal for those passionate about finance and technology, eager to push boundaries.

The predicted salary is between 43200 - 72000 £ per year.

My client - one of the industry's leading global investment managers - is looking to hire a Quantitative Developer to join the Algo Development Trading Technology team as they build a new Volatility Trading system. They are developing a systematic trading platform for trading options which includes:

  • Option execution algorithms to optimize execution for Portfolio Managers globally
  • Analytics to support post-trade analysis and TCA

As a Quantitative Developer, you will play a vital role in designing, implementing, and maintaining options trading systems. This is an exciting opportunity to contribute to a dynamic and fast-paced environment, leveraging your C++ expertise and options trading business knowledge.

Responsibilities:

  • Collaborate with quantitative analysts and traders to translate their strategies into efficient and robust code.
  • Develop, optimize, and maintain software applications for options trading, primarily using C++ (ideally version 17 or better).
  • Design and implement high-performance trading systems, ensuring reliability, scalability, and low-latency execution.
  • Work closely with infrastructure teams to improve trading infrastructure, connectivity, and performance.
  • Conduct thorough testing and debugging of software components, resolving any issues or discrepancies.
  • Stay up-to-date with the latest developments in technology and trading practices to continuously enhance systems.
  • Provide technical support and mentorship to junior developers, promoting best practices and knowledge sharing.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
  • 10+ years of work experience, of which at least 5 is in building automated options trading systems.
  • Deep understanding of financial markets, including equities, derivatives, options, and futures, is crucial.
  • Strong knowledge of options pricing models, trading strategies, risk management, and market analysis is highly valued.
  • Proficiency in quantitative analysis, mathematical modeling, statistics, and probability theory is essential for option pricing and analytics.
  • Solid understanding of options risk management techniques, such as delta hedging with all the products such as index options with futures etc.
  • Good understanding of different option markets and market mechanisms of options market microstructure.
  • Good knowledge of option auction and expiration process and the market impact.
  • Good knowledge of products traded by volatility traders, e.g.:
  • Equity Options
  • Index Options
  • Spreads on Equity and Index options (Complex Options)
  • Variance Swap (Var Swap)
  • Volatility Swap (Vol Swap)
  • Strong knowledge of options trading business, including concepts, strategies, and risk management.
  • Extensive experience with C++ and solid understanding of modern C++ features, multithreading, and low-level programming.
  • Proficiency in software development methodologies, version control systems, and debugging tools.
  • Experience with C++ testing framework such as google fixtures and code coverage tools as gcov.
  • Familiarity with distributed systems, high-performance computing, and algorithm optimization.
  • Excellent problem-solving and analytical skills, with the ability to quickly understand and apply complex concepts.
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams.
  • Self-motivated, detail-oriented, and able to work independently in a fast-paced environment.
  • Preferred Qualifications:

    • Previous experience in options trading or algorithmic trading systems development.
    • Proficiency in other programming languages such as Python.
    • Experience in building cloud (AWS, GCP) based volatility trading solutions for back testing and regression testing.
    • Experience with building analytics tool using KDB.
    • Knowledge of quantitative finance, statistical analysis, and regression.
    • Familiarity with options trading markets.

    If you are passionate about options trading, possess strong C++ skills, and are excited about contributing to a leading options trading business, we encourage you to apply. Come and be part of a dynamic team dedicated to pushing the boundaries of finance and technology.

    Contact:

    If this sounds like you, or you would like more information, please get in touch: George Hutchinson-Binks george.hutchinson-binks@oxfordknight.co.uk (+44) 07885 545220 linkedin.com/in/george-hutchinson-binks-a62a69252

    Quantitative Developer - Algo Vol Trading- World-Leading Hedge Fund (London) employer: eFinancialCareers

    Join a world-leading hedge fund in London, where innovation meets excellence. As a Quantitative Developer, you'll thrive in a collaborative and fast-paced environment, working alongside top-tier professionals to develop cutting-edge trading systems. With a strong focus on employee growth, mentorship opportunities, and a culture that values creativity and technical expertise, this is an exceptional place for those looking to make a significant impact in the finance and technology sectors.
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    Contact Detail:

    eFinancialCareers Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Quantitative Developer - Algo Vol Trading- World-Leading Hedge Fund (London)

    ✨Tip Number 1

    Make sure to brush up on your C++ skills, especially with modern features and multithreading. Being able to demonstrate your proficiency in these areas during interviews will set you apart from other candidates.

    ✨Tip Number 2

    Familiarise yourself with the latest trends in options trading and volatility strategies. Showing that you are knowledgeable about current market practices can impress potential employers and highlight your passion for the field.

    ✨Tip Number 3

    Network with professionals in the quantitative finance and trading sectors. Attend relevant meetups or webinars to connect with industry experts, which could lead to valuable referrals or insights into the hiring process.

    ✨Tip Number 4

    Prepare to discuss your experience with automated trading systems and any specific projects you've worked on. Be ready to explain your thought process and the impact of your contributions, as this will showcase your hands-on expertise.

    We think you need these skills to ace Quantitative Developer - Algo Vol Trading- World-Leading Hedge Fund (London)

    C++ Programming (version 17 or better)
    Options Trading Systems Development
    Financial Markets Knowledge
    Options Pricing Models
    Risk Management Techniques
    Quantitative Analysis
    Mathematical Modelling
    Statistics and Probability Theory
    Market Microstructure Understanding
    Options Auction and Expiration Process Knowledge
    Experience with Equity Options and Index Options
    Complex Options Spreads Knowledge
    Volatility Trading Products Knowledge
    Multithreading and Low-Level Programming
    Software Development Methodologies
    Version Control Systems
    Debugging Tools Proficiency
    C++ Testing Frameworks (e.g., Google Fixtures)
    Distributed Systems Familiarity
    High-Performance Computing
    Algorithm Optimization
    Problem-Solving Skills
    Analytical Skills
    Strong Communication Skills
    Collaboration with Cross-Functional Teams
    Self-Motivated and Detail-Oriented
    Cloud-Based Solutions Experience (AWS, GCP)
    KDB Analytics Tool Development
    Statistical Analysis and Regression Knowledge

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV highlights your experience with C++ and options trading systems. Include specific projects or roles where you developed automated trading solutions, emphasising your technical skills and understanding of financial markets.

    Craft a Compelling Cover Letter: In your cover letter, express your passion for options trading and how your background aligns with the role. Mention any relevant experience in algorithmic trading and your ability to collaborate with quantitative analysts and traders.

    Showcase Technical Skills: Clearly outline your proficiency in C++ and any other programming languages you know, such as Python. Highlight your experience with software development methodologies, debugging tools, and any familiarity with cloud-based solutions.

    Demonstrate Problem-Solving Abilities: Provide examples in your application that showcase your analytical skills and problem-solving abilities. Discuss how you've tackled complex challenges in previous roles, particularly in relation to trading systems or financial analysis.

    How to prepare for a job interview at eFinancialCareers

    ✨Showcase Your C++ Expertise

    Make sure to highlight your experience with C++, especially if you've worked with version 17 or later. Be prepared to discuss specific projects where you implemented high-performance trading systems, as this will demonstrate your technical proficiency.

    ✨Understand Options Trading Inside Out

    Brush up on your knowledge of options pricing models, trading strategies, and risk management techniques. Being able to discuss these concepts in detail will show that you have a solid grasp of the financial markets and can contribute effectively to the team.

    ✨Prepare for Technical Questions

    Expect to face technical questions related to algorithm optimisation, multithreading, and debugging tools. Practising coding problems and reviewing common algorithms used in trading systems can help you feel more confident during the interview.

    ✨Demonstrate Collaboration Skills

    Since the role involves working closely with quantitative analysts and traders, be ready to share examples of how you've successfully collaborated in cross-functional teams. Highlight your communication skills and any mentorship experiences you've had with junior developers.

    Quantitative Developer - Algo Vol Trading- World-Leading Hedge Fund (London)
    eFinancialCareers
    E
    • Quantitative Developer - Algo Vol Trading- World-Leading Hedge Fund (London)

      London
      Full-Time
      43200 - 72000 £ / year (est.)

      Application deadline: 2027-06-11

    • E

      eFinancialCareers

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