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For Companies At a Glance
- Tasks: Join our team to optimise trading performance using data-driven methods.
- Company: Hudson River Trading is a leading firm in financial market innovation.
- Benefits: Enjoy a collaborative culture, diverse environment, and opportunities for professional growth.
- Why this job: Make a real impact on trading strategies while working in a scientific and innovative setting.
- Qualifications: Degree in Data Analytics or related field; experience with data analytics and network protocols required.
- Other info: We value diversity and are committed to creating an inclusive workplace.
The predicted salary is between 43200 - 72000 £ per year.
Hudson River Trading is hiring a Market Structure Optimization Engineer for our new Market Structure Analytics team. In this role, you will employ data-driven methodologies to minimize friction in our real-time interactions with financial markets, optimizing our connection with trading venues. You will have the opportunity to make a direct impact through measurable improvements in HRT’s trading performance.
Responsibilities
- Analyze time series network and exchange protocol captures
- Familiarize yourself with specific markets, attend presentations, and liaise with exchange counterparts
- Research exchange features, capabilities, and architecture
- Automate the collection and visualization of metrics to assess exchange communication efficacy
- Design and conduct controlled experiments to measure the impact of changes to trading infrastructure
- Communicate ideas, requirements, and results across teams
- Improve the fill rate of our hardware-based trading strategies
- Reduce cancel-reject responses
- Investigate latency-sensitive exchanges and report findings
Skills
- Proficiency in data analytics, including statistics, visualization, and handling large datasets
- Basic understanding of TCP and UDP network protocols
- Experience with Python and data libraries like Pandas, Numpy/Scipy
- Familiarity with modern computer systems and networks
- Experience with real-time exchange market data and order entry is a plus
Profile
- Degree in Data Analytics or related field
- Ability to collect and interpret network and financial market data
- Professional experience in latency reduction, preferably in finance
- Understanding of proprietary trading and exchange technologies
Culture
HRT applies a scientific approach to trading financial products, with a sophisticated research environment. We value diversity and innovation, welcoming expertise across disciplines. Our community fosters openness, transparency, and collaboration, embracing a culture of togetherness and diversity across our global offices. We are an equal opportunity employer committed to creating an inclusive environment.
Market Structure Optimization Engineer (London) employer: Hudson River Trading
Contact Detail:
Hudson River Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Structure Optimization Engineer (London)
✨Tip Number 1
Familiarise yourself with the latest trends in market structure and trading technologies. Understanding the nuances of how different exchanges operate can give you an edge during interviews, as you'll be able to discuss relevant topics confidently.
✨Tip Number 2
Network with professionals in the finance and trading sectors. Attend industry events or webinars where you can meet people who work at Hudson River Trading or similar firms. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your Python skills, especially with data libraries like Pandas and Numpy. Consider working on personal projects that involve data analytics or real-time data processing to showcase your abilities and passion for the field.
✨Tip Number 4
Prepare to discuss specific examples of how you've improved processes or reduced latency in previous roles. Being able to articulate your past experiences with measurable outcomes will demonstrate your capability to make a direct impact at HRT.
We think you need these skills to ace Market Structure Optimization Engineer (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, network protocols, and any work related to financial markets. Use specific examples that demonstrate your proficiency in Python and data libraries like Pandas and Numpy.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the responsibilities listed, particularly your experience with latency reduction and your understanding of trading technologies.
Showcase Relevant Projects: If you have worked on projects involving time series analysis or automated data collection, be sure to include these in your application. Highlight any measurable outcomes from these projects to demonstrate your impact.
Prepare for Technical Questions: Anticipate technical questions related to data analytics and network protocols during the interview process. Brush up on your knowledge of TCP/UDP and be ready to discuss how you've applied this in real-world scenarios.
How to prepare for a job interview at Hudson River Trading
✨Showcase Your Data Analytics Skills
Be prepared to discuss your experience with data analytics, especially in relation to statistics and visualisation. Bring examples of how you've handled large datasets and the impact your analyses have had on previous projects.
✨Understand Market Structures
Familiarise yourself with the specific markets relevant to Hudson River Trading. Research their trading venues and be ready to discuss how you can optimise interactions within these environments.
✨Demonstrate Technical Proficiency
Highlight your experience with Python and data libraries like Pandas and Numpy/Scipy. Be ready to explain how you've used these tools in past roles, particularly in automating processes or improving trading strategies.
✨Communicate Effectively
Since the role involves liaising with various teams and exchange counterparts, practice articulating your ideas clearly. Prepare to discuss how you would communicate complex technical concepts to non-technical stakeholders.
