At a Glance
- Tasks: Lead the development of next-gen market data systems for trading.
- Company: A top global trading and digital markets firm.
- Benefits: Competitive salary, leadership role, and opportunities for innovation.
- Other info: Join a high-performing team at the forefront of trading technology.
- Why this job: Shape the future of trading with cutting-edge technology and a dynamic team.
- Qualifications: 10+ years in market data with expertise in low-latency systems.
The predicted salary is between 90000 - 120000 € per year.
A leading global trading and digital markets firm is seeking a Head of Market Data Engineering to build and lead a next-generation market data function supporting both traditional and digital asset trading businesses. This is a newly created leadership role with significant ownership across market data architecture, exchange connectivity, vendor strategy, and real-time trading infrastructure. The position sits at the intersection of trading, engineering, quantitative research, and infrastructure. We are looking for a highly technical market data specialist with deep experience in low-latency environments and modern electronic trading systems.
Key Responsibilities
- Define and execute the firm’s global market data strategy across multiple asset classes
- Design and oversee scalable, low-latency market data architecture
- Manage real-time feed ingestion, normalization, symbology mapping, and distribution systems
- Lead direct exchange connectivity initiatives across centralized and electronic trading venues
- Partner with engineering teams on feed handlers, APIs, streaming platforms, and cloud/on-prem infrastructure
- Build frameworks for data quality monitoring, resiliency, latency benchmarking, and governance
- Own vendor relationships, licensing, commercial negotiations, and market data cost optimization
- Support trading, quant, and risk teams with reliable high-performance data solutions
- Build and lead a high-performing technical market data team
Required Experience
- 10+ years’ experience in market data within a hedge fund, proprietary trading firm, exchange, broker, or institutional trading environment
- Strong understanding of low-latency market data systems and electronic trading infrastructure
- Deep knowledge of real-time market data feeds, APIs, and streaming technologies
- Experience with feed handlers, order book data, reference data, and historical datasets
- Strong understanding of market structure across asset classes including futures, equities, FX, options, and/or digital assets
- Experience managing market data vendors, exchange licensing, and commercial agreements
- Proven ability to work closely with engineering, trading, and quantitative research teams
Market Data Engineering Lead in City of London employer: Harrington Starr
As a leading global trading and digital markets firm, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from competitive compensation packages, comprehensive professional development opportunities, and the chance to work at the forefront of market data engineering in a fast-paced environment. Join us in our state-of-the-art facilities, where your expertise will directly impact our cutting-edge trading strategies and contribute to the success of both traditional and digital asset markets.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data Engineering Lead in City of 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 any projects related to market data engineering, make sure to highlight them in conversations. It’s all about demonstrating what you can bring to the table.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s market data strategies. Knowing their tech stack and challenges will help you stand out as someone who’s genuinely interested and ready to contribute.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talent, and applying directly can give you an edge. Plus, it shows you’re keen on joining our team!
We think you need these skills to ace Market Data Engineering Lead in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Market Data Engineering Lead. Highlight your experience in low-latency environments and any relevant projects that showcase your technical skills. We want to see how you fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about market data and how your background aligns with our needs. Be sure to mention specific experiences that demonstrate your leadership and technical expertise.
Showcase Your Technical Skills:In your application, don’t shy away from diving into the nitty-gritty of your technical abilities. Discuss your experience with APIs, streaming technologies, and any relevant tools you've used. We love seeing candidates who can get into the details!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of 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 Harrington Starr
✨Know Your Market Data Inside Out
Make sure you brush up on your knowledge of low-latency market data systems and electronic trading infrastructure. Be prepared to discuss specific technologies you've worked with, such as real-time feeds and APIs, and how they relate to the role.
✨Showcase Your Leadership Skills
Since this is a leadership role, be ready to share examples of how you've built and led high-performing teams in the past. Highlight your experience in managing vendor relationships and executing market data strategies.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about market data architecture and exchange connectivity. Brush up on your understanding of feed handlers, symbology mapping, and data quality monitoring to impress the interviewers.
✨Demonstrate Cross-Functional Collaboration
This role requires working closely with engineering, trading, and quantitative research teams. Prepare examples of how you've successfully collaborated across departments to deliver high-performance data solutions in previous roles.
