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For Companies At a Glance
- Tasks: Join our team to optimise trading performance through data-driven methodologies.
- Company: Hudson River Trading is a leading firm in financial markets, known for innovation and collaboration.
- Benefits: Enjoy a diverse culture, inclusive environment, and opportunities for professional growth.
- Why this job: Make a real impact on trading strategies while working in a scientific and collaborative atmosphere.
- Qualifications: Degree in Data Analytics or related field; experience with Python and data analytics required.
- Other info: We value diversity and welcome expertise from various disciplines.
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. #J-18808-Ljbffr
Contact Detail:
Hudson River Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Structure Optimization Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in market structure and trading technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the finance and trading sectors. Attend industry conferences or webinars where you can meet people from Hudson River Trading and learn more about their work culture and expectations.
✨Tip Number 3
Brush up on your Python skills, especially with data libraries like Pandas and Numpy/Scipy. Consider working on personal projects that involve data analytics to showcase your proficiency during discussions.
✨Tip Number 4
Prepare to discuss specific examples of how you've reduced latency or improved data handling in previous roles. Being able to articulate your past experiences will demonstrate your capability to contribute effectively to the team.
We think you need these skills to ace Market Structure Optimization Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and skills required for the Market Structure Optimization Engineer position. Tailor your application to highlight relevant experiences and skills that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise any experience you have with data analytics, network protocols, and financial markets. Use specific examples to demonstrate your proficiency in Python and handling large datasets, as these are crucial for the role.
Showcase Your Analytical Skills: Since the role involves analysing time series data and automating metrics collection, include examples of past projects where you've successfully applied data-driven methodologies. This will show your capability to contribute to HRT’s trading performance.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company culture at Hudson River Trading. Mention how your values align with their commitment to diversity and innovation.
How to prepare for a job interview at Hudson River Trading
✨Showcase Your Data Analytics Skills
Make sure to highlight your proficiency in data analytics during the interview. Be prepared to discuss specific projects where you've used statistics, visualisation, and large datasets, as these are crucial for the role.
✨Understand Market Structures
Familiarise yourself with the specific markets that Hudson River Trading operates in. Research their trading venues and be ready to discuss how you can optimise connections with them based on your findings.
✨Demonstrate Technical Knowledge
Brush up on your understanding of TCP and UDP network protocols, as well as your experience with Python and data libraries like Pandas and Numpy/Scipy. Be ready to explain how you've applied this knowledge in real-world scenarios.
✨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.
