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- Tasks: Support and manage real-time market data environments while optimizing low latency systems.
- Company: Join MLP, a leader in quantitative trading, known for its innovative technology solutions.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration with top engineers.
- Why this job: Be part of a cutting-edge team solving critical engineering challenges in finance.
- Qualifications: Must have experience in market data systems and a degree in computer science or related field.
- Other info: Ideal for tech-savvy individuals who thrive in fast-paced, high-pressure environments.
The predicted salary is between 43200 - 72000 £ per year.
Market Data Engineer – Systematic Platform Execution & Exchange Data
The SPEED Market Data team seeks a multi-skilled engineer who is excited to support, monitor, architect, and implement low latency C++ systems that are robust, resilient, accurate, stable, and exceedingly fast. By building and maintaining this high-performance infrastructure, this engineer will help position MLP as a leader in the field of quantitative trading. The successful candidate will work alongside other exceptional engineers and strategists to solve business-critical engineering problems that are vital to our systematic trading business.
We are looking for a strong candidate with financial markets technology experience and real-time market data expertise to build and support globally our real-time (both low latency and non-latency sensitive) market data plant. The ideal candidate must be comfortable with monitoring, support, development, and client management duties with goals of ensuring stability of the existing environment whilst also designing and implementing platform improvements.
Principal Responsibilities
- Support and management of both enterprise and latency-sensitive real-time market data environments, including management of internal, vendor, and exchange-initiated changes.
- Liaison with users of the market data environment, including Portfolio Managers, trading desks, and core technology teams.
- Contributing towards the team’s technical direction by driving new initiatives.
- Collaborating with hardware and software developers across divisions to build real-time market data processing and distribution systems.
- Optimizing this platform by using network and systems programming, as well as other advanced techniques to minimize latency.
- Design and engineering of components to automate support and management capabilities for the market data platform, including monitoring, real-time and historic metrics collection/visualization, and administrative functions including self-service user-facing tools.
- Enhancement of processes and workflows related to the operation of the market data platform, such as release deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs.
Qualifications/Skills Required
- Technical experience supporting market data environments within a global organization, including both internally developed feed handlers and distribution infrastructure.
- Strong understanding of market data concepts and functionality, such as data models (fields/messages), protocols (e.g. snapshot + delta), order book representations (e.g. L1/L2/L3), recovery, and reliability.
- Technical background in application development on complex market data systems (i.e. – Bloomberg, Thompson Reuters, etc).
- Hands-on Site Reliability Engineering or operational skills, including system administration, automation, measurement, release/deployment management.
- Experience with monitoring, metrics and command/control functionality for distributed market data platforms; ability to evaluate existing solutions and drive enhancements through coordination of development and operations teams.
- A degree in computer science or a related field with a strong background in object-oriented programming or scripting languages.
- Good understanding of Linux system internals and networking.
- Deep understanding of CPU architecture and the ability to leverage CPU capabilities.
- Able to prioritize in a fast-moving, high-pressure, constantly changing environment with a good sense of urgency and ownership.
- Effective communication and relationship management skills (client and vendor): The candidate will be expected to work closely with business and technology users to understand their current and future needs.
- Demonstrate thoroughness and strong ownership of work through a detail-oriented approach.
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Market Data Engineer - Systematic Platform Execution & Exchange Data employer: Millennium Management LLC
Contact Detail:
Millennium Management LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Engineer - Systematic Platform Execution & Exchange Data
✨Tip Number 1
Make sure to familiarize yourself with the specific technologies and protocols mentioned in the job description, such as snapshot + delta and order book representations. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the financial technology space, especially those who work with market data systems. Engaging in discussions about current trends and challenges can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Consider contributing to open-source projects related to market data processing or low latency systems. This hands-on experience can showcase your skills and commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Prepare to discuss real-world scenarios where you've optimized systems or improved processes. Being able to articulate your problem-solving approach and the impact of your contributions will set you apart from other candidates.
We think you need these skills to ace Market Data Engineer - Systematic Platform Execution & Exchange Data
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and qualifications required for the Market Data Engineer position. Tailor your application to highlight relevant experiences that align with these requirements.
Highlight Technical Skills: Emphasize your technical experience with market data environments, C++, and any relevant systems you have worked with. Be specific about your hands-on experience with low latency systems and your understanding of market data concepts.
Showcase Problem-Solving Abilities: Provide examples in your application that demonstrate your ability to solve complex engineering problems, particularly in high-pressure environments. Highlight any initiatives you've driven that improved system performance or stability.
Communicate Effectively: Since effective communication is crucial for this role, ensure your application reflects your ability to manage relationships with both technical and non-technical stakeholders. Use clear and concise language to convey your ideas and experiences.
How to prepare for a job interview at Millennium Management LLC
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with market data environments and low latency systems. Highlight specific projects where you implemented or supported real-time market data solutions, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
Expect to encounter scenario-based questions that assess your ability to solve business-critical engineering problems. Think of examples from your past work where you had to troubleshoot issues in a high-pressure environment and how you ensured system stability.
✨Communicate Effectively
Since this role involves liaising with various teams, practice articulating complex technical concepts in a way that is understandable to non-technical stakeholders. Show that you can bridge the gap between technology and business needs.
✨Prepare for Behavioral Questions
Be ready to discuss your approach to teamwork and collaboration, especially in cross-functional settings. Prepare examples that demonstrate your ability to work effectively with both technical and non-technical teams, as well as your ownership of tasks and attention to detail.
