At a Glance
- Tasks: Lead the development of next-gen market data systems for trading.
- Company: A top global trading firm at the forefront of digital markets.
- Benefits: Competitive salary, leadership role, and opportunities for innovation.
- Other info: Join a high-performing team and drive impactful market data strategies.
- 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 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 unparalleled growth opportunities in a fast-paced environment, where they can make a significant impact on the future of market data engineering. Located in a vibrant financial hub, we offer competitive compensation packages, comprehensive benefits, and the chance to work alongside some of the brightest minds in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data Engineering Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the trading and engineering space. Attend industry events or webinars where you can meet potential employers and showcase your expertise in market data.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Be ready to discuss low-latency systems and real-time data feeds in detail. We want you to shine when they ask about your experience with market data architecture!
✨Tip Number 3
Don’t just apply anywhere; focus on firms that align with your values and expertise. Use our website to find roles that excite you, especially those that let you leverage your knowledge of electronic trading systems.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Market Data Engineering Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in low-latency environments and market data systems to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share your passion for market data engineering and how your background aligns with our needs at StudySmarter.
Showcase Relevant Projects:If you've worked on projects related to market data architecture or real-time trading infrastructure, make sure to include them. We love seeing practical examples of your work and how you’ve tackled challenges.
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 this exciting opportunity at StudySmarter!
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 and methodologies you've used in the past, as well as how they can apply to the role you're interviewing for.
✨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, as these will be key to demonstrating your fit for the position.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about real-time feed ingestion, APIs, and streaming platforms. Brush up on your understanding of data quality monitoring and latency benchmarking, as these are crucial aspects of the role that interviewers will want to explore.
✨Understand the Business Context
Familiarise yourself with the firm's trading strategies and the different asset classes they operate in. Being able to connect your technical expertise with their business needs will show that you’re not just a tech whiz, but also someone who understands the bigger picture.
