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For Companies At a Glance
- Tasks: Lead a team in optimising market data connectivity and enhancing trading strategies.
- Company: Join Auros, a leader in the cryptocurrency ecosystem with a vibrant culture.
- Benefits: Enjoy remote work, flexible hours, and opportunities for personal and professional growth.
- Why this job: Be at the forefront of digital assets and make a real impact in the industry.
- Qualifications: Strong leadership, communication skills, and expertise in market data and network programming.
- Other info: Collaborative environment with a focus on innovation and success.
The predicted salary is between 43200 - 72000 £ per year.
At Auros, we are dedicated to advancing the cryptocurrency ecosystem through unparalleled liquidity and market-making services. We are one of the largest participants in the market, trading across 10+ global locations, facilitating 3-4% of global daily volumes, and have connectivity to over 50 venues.
What sets us apart is our culture. We believe in hiring smart people and empowering them to do their best work. From day one, you will have the autonomy and support to excel. Our relentless focus on delivery drives us to continuously push boundaries and achieve exceptional results, all while offering abundant opportunities for personal and professional growth in the dynamic realm of digital assets.
The Opportunity
Leading a team of brilliant individuals responsible for low latency market data connectivity as well as the backbone of 95% of overall data transfer in the company. You will be heavily involved in:
- Designing the high-level system architecture covering data dissemination across the globe.
- Squeezing the last cycles and bits of cache out of CPUs feeding our low latency trading strategies.
- Improving data encoding, decreasing shared memory footprint and saving bandwidth of our fast network lines.
- Optimizing connectivity to the existing venues leveraging trading systems and outcompeting others in the race.
- Providing connectivity to new venues widening our market coverage.
- Prioritization of your team work among overall company work items.
- Development and growth of Engineering team members.
Who you are
Our ideal candidate will have:
- Strong communication and leadership skills.
- Strong critical thinking foreseeing design flaws and potential issues.
- Strong market data knowledge (tradfi works, but crypto experience is highly desirable).
- Strong network programming skills including kernel bypass techniques.
- Knowledge about network protocols (Websockets/HTTP/TCP/UDP/IP).
- Strong low level C++ skills.
- Strong inter-thread/process communication skills.
- Lockless shared memory data structures knowledge.
- Good hardware knowledge (CPU, memory+NUMA, NIC).
What We Offer in Return
Opportunity to work at the forefront of the digital asset industry. Remote and flexible work. Autonomy and a flat structure means you can contribute your ideas from day one and help shape the foundation that will power our future business. At Auros, we value nimbleness, drive for success, owner mentality, and collaboration. Join us in shaping the future of financial services across Asia and beyond!
Market Data Services Team Lead Remote - UK or Europe in London employer: Auros
Contact Detail:
Auros Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Services Team Lead Remote - UK or Europe in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your market data knowledge. Be ready to discuss your experience with low latency systems and how you've tackled challenges in the past.
✨Tip Number 3
Show off your skills! If you have any projects or contributions related to network programming or data connectivity, make sure to highlight them during your conversations. Real-world examples can set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Market Data Services Team Lead Remote - UK or Europe in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your leadership skills and market data knowledge, as these are key for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the cryptocurrency ecosystem. Share specific examples of how you've led teams or optimised systems in the past.
Showcase Your Technical Skills: Don’t forget to mention your strong C++ skills and any experience with network programming. We want to see how you can contribute to our low latency trading strategies!
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 get to know you better!
How to prepare for a job interview at Auros
✨Know Your Market Data Inside Out
Make sure you brush up on your market data knowledge, especially in the context of cryptocurrency. Understand how low latency trading works and be ready to discuss specific examples of how you've optimised data connectivity in previous roles.
✨Show Off Your Leadership Skills
Since this role involves leading a team, be prepared to share your experiences in managing and developing team members. Highlight any successful projects where you empowered your team to excel and how you prioritised tasks effectively.
✨Demonstrate Technical Proficiency
Be ready to dive deep into technical discussions about network programming and protocols. Brush up on your C++ skills and be prepared to explain concepts like lockless shared memory data structures and kernel bypass techniques.
✨Emphasise Your Problem-Solving Skills
Critical thinking is key for this role. Prepare to discuss past challenges you've faced in system architecture or data optimisation, and how you foresee potential issues before they arise. Use specific examples to illustrate your thought process.
