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- Tasks: Analyze data to optimize trading performance and reduce market friction.
- Company: Hudson River Trading is a leading quantitative trading firm focused on technology and innovation.
- Benefits: Enjoy a collaborative culture, competitive salary, and opportunities for professional growth.
- Why this job: Make a direct impact on trading strategies while working with cutting-edge technology.
- Qualifications: Degree in Data Analytics or related field; experience in latency reduction preferred.
- Other info: Join a brand new team and shape the future of market structure analytics.
The predicted salary is between 43200 - 72000 £ per year.
Hudson River Trading is hiring a Market Structure Optimization Engineer for our brand new Market Structure Analytics team. In joining this team, you will be responsible for employing data-driven methodologies to minimize friction in our real-time interaction with financial markets. This role is crucial to helping HRT optimize the way we connect with unique trading venues.
As a Market Structure Optimization Engineer you’ll have an incredible opportunity to make an immediate and direct impact through measurable improvements to the performance of HRT’s trading.
Responsibilities
- Analyze time series network and exchange protocol captures
- Become familiar with the details of specific markets, attend presentations and liaise with exchange counterparts
- Research exchange features, capabilities, and architecture
- Automate collection and visualization of metrics that quantify efficacy of exchange communication
- Formulate and conduct controlled experiments that measure impact of calculated changes to HRT’s trading infrastructure
- Communicate ideas, requirements, and results across disparate teams
- Improve fill rate of our hardware-based trading strategy
- Reduce incidence of cancel-reject responses
- Investigate and report details of various latency-sensitive exchanges
Skills
- Proficiency in data analytics including statistics, data visualization, and working with large data sets
- Basic understanding of TCP and UDP network protocols
- Extensive experience with Python and relevant data libraries (Pandas, Numpy/Scipy)
- Some familiarity with the details of modern computer systems and networks
- Experience with real time exchange market data and order entry a plus
Profile
- You possess a degree in Data Analytics or a related field
- You can collect and interpret network and/or financial market data
- You have professional experience in latency reduction, preferably in finance
- You have a basic understanding of proprietary trading and exchange technologies
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Market Structure Optimization Engineer 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
✨Tip Number 1
Familiarize yourself with the latest trends in market structure and trading technologies. Understanding the nuances of different exchanges and their protocols will give you an edge during discussions with our team.
✨Tip Number 2
Brush up on your Python skills, especially with libraries like Pandas and Numpy. Being able to demonstrate your proficiency in data analytics and visualization will be crucial in showcasing your fit for this role.
✨Tip Number 3
Engage with online communities or forums related to financial markets and trading technologies. Networking with professionals in the field can provide insights and potentially valuable connections that may help you stand out.
✨Tip Number 4
Prepare to discuss specific examples of how you've reduced latency or improved trading performance in previous roles. Concrete examples will illustrate your experience and problem-solving abilities effectively.
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, emphasize your proficiency in data analytics, experience with Python, and any familiarity with TCP/UDP protocols. Provide specific examples of how you've applied these skills in previous roles, especially in latency reduction or financial markets.
Showcase Your Analytical Skills: Demonstrate your ability to analyze time series data and network protocols. Include any projects or experiences where you automated data collection or visualized metrics, as this is crucial for the role.
Communicate Effectively: Since the role involves communicating ideas across teams, ensure your application reflects strong communication skills. Use clear and concise language in your cover letter to convey your thoughts and experiences effectively.
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 data visualization. Highlight specific projects where you worked with large datasets and how your analysis led to measurable improvements.
✨Demonstrate Knowledge of Network Protocols
Since a basic understanding of TCP and UDP is required, make sure you can explain these protocols clearly. You might be asked to provide examples of how you've applied this knowledge in previous roles or projects.
✨Familiarize Yourself with Financial Markets
Research the specific markets relevant to Hudson River Trading. Understanding the nuances of different trading venues and their features will show your commitment and readiness to contribute to the team.
✨Prepare for Technical Questions
Expect technical questions related to Python and data libraries like Pandas and Numpy/Scipy. Brush up on your coding skills and be ready to solve problems on the spot, as this will demonstrate your proficiency and problem-solving abilities.
