At a Glance
- Tasks: Lead the engineering of real-time market data feeds and optimise data ingestion processes.
- Company: Boutique multi-strategy investment firm focused on innovative data solutions.
- Benefits: Competitive salary, dynamic work environment, and opportunities for technical leadership.
- Other info: Opportunity to work with large-scale datasets and mentor junior engineers.
- Why this job: Join a cutting-edge team and make an impact in high-performance trading technology.
- Qualifications: Strong Java skills and experience with low-latency systems in finance.
The predicted salary is between 80000 - 100000 € per year.
A boutique multi-strategy investment firm is building a next-generation real-time data platform to support systematic and discretionary trading across multiple asset classes. They are hiring a VP-level Market Data Engineer to take ownership of high-performance data ingestion and live feed architecture.
This is a hands-on technical leadership role for someone who enjoys working close to the data, at scale, in a low-latency environment. You will lead the engineering of real-time market data feeds, ingesting millions of messages per second and handling terabytes to petabytes of data from live sources. This platform underpins trading, analytics and research with a strong focus on low-latency, high-throughput and resilience. You'll work closely with trading, quant and platform teams to design and evolve a highly optimised market data stack.
Areas Of Focus:
- Real-time market data ingestion and processing at scale.
- Low-latency Java systems (event-driven, high-throughput).
- Bloomberg, TREP, Refinitiv etc feed integration.
- Direct venue connectivity and market data normalisation.
- Handling TB-PB scale datasets from continuous live feeds.
- Data quality, sequencing, recovery and resiliency in real-time systems.
What They’re Looking For:
- Strong hands-on background in Java building low-latency, high performance systems.
- Experience in hedge fund, prop trading, or investment banking environments.
- Deep expertise with market data feeds (Bloomberg, TREP, direct exchange feeds).
- Proven experience processing millions of events per second in real time.
- Solid understanding of data ingestion pipelines, streaming architectures, and fault tolerance.
- Technical ownership, architecture and mentoring.
Nice To Have:
- KDB / Time Series Database
- Python
- Cloud/hybrid infrastructure exposure.
Boutique Multi-Strat Market Feeds VP in London employer: Stanford Black
As a boutique multi-strategy investment firm, we pride ourselves on fostering a dynamic and innovative work environment that encourages technical excellence and collaboration. Our commitment to employee growth is reflected in our hands-on leadership approach, where you will have the opportunity to shape cutting-edge data platforms while working alongside talented professionals in a fast-paced, low-latency setting. Located in a vibrant financial hub, we offer competitive benefits and a culture that values creativity and initiative, making us an exceptional employer for those seeking meaningful and rewarding careers in finance technology.
StudySmarter Expert Advice🤫
We think this is how you could land Boutique Multi-Strat Market Feeds VP in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or projects that highlight your experience with low-latency systems and market data feeds, make sure to share them during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Java skills and understanding of real-time data processing. Practice coding challenges that focus on high-performance systems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who are passionate about data and trading. Your next big opportunity could be just a click away!
We think you need these skills to ace Boutique Multi-Strat Market Feeds VP in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Market Data Engineer. Highlight your experience with low-latency systems and market data feeds, as these are key for us. Use specific examples that showcase your hands-on skills in Java and data ingestion.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about real-time data platforms and how your background aligns with our needs. Don’t forget to mention any relevant experience in hedge funds or trading environments.
Showcase Your Technical Skills:We want to see your technical prowess! Include details about your experience with high-performance systems, data processing, and any tools you've used like Bloomberg or Refinitiv. This will help us understand your fit for the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Stanford Black
✨Know Your Tech Inside Out
Make sure you’re well-versed in low-latency Java systems and real-time data ingestion. Brush up on your knowledge of market data feeds like Bloomberg and TREP, as well as the architecture behind high-performance systems. Being able to discuss specific projects or challenges you've faced will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled issues related to data quality, sequencing, and resiliency in real-time systems. Think of examples where you’ve had to ensure fault tolerance while processing millions of events per second. This will demonstrate your ability to think critically under pressure.
✨Understand the Business Context
Familiarise yourself with the firm’s trading strategies and how their data platform supports them. Knowing how your role as a Market Data Engineer fits into the bigger picture will help you articulate your value during the interview. It shows that you’re not just a techie but also understand the financial implications of your work.
✨Be Ready to Discuss Collaboration
Since you'll be working closely with trading, quant, and platform teams, prepare to talk about your experience in cross-functional collaboration. Highlight instances where you’ve successfully led technical discussions or mentored others, as this will showcase your leadership skills and ability to communicate complex ideas effectively.
