Job summary
Job post source
This job is directly from Hudson River Trading
Job overview
The Market Structure Optimization Engineer at Hudson River Trading will utilize data-driven methodologies to enhance the firm's interaction with financial markets, making significant improvements to trading performance.
Responsibilities and impact
Daily responsibilities include analyzing network and exchange protocol data, researching exchange features, automating metrics visualization, conducting experiments to improve trading infrastructure, and communicating results across teams.
Compensation and benefits
The annual base salary ranges from $150,000 to $200,000, with potential bonuses and company-paid medical benefits included in the compensation package.
Experience and skills
Candidates should have a degree in Data Analytics or a related field, proficiency in data analytics and Python, and experience in latency reduction, preferably in finance.
Career development
Opportunities for professional growth include working in a cutting-edge computing environment and engaging in innovative algorithmic trading projects.
Work environment and culture
Hudson River Trading fosters a scientific and collaborative culture, valuing openness, transparency, and diverse expertise among its staff.
Company information
Hudson River Trading is a leader in algorithmic trading, known for its sophisticated computing environment and commitment to research and development in financial products.
Team overview
The candidate will join the newly formed Market Structure Analytics team, which emphasizes collaboration and innovation in trading strategies.
Unique job features
This role offers the chance to directly impact trading performance and engage in innovative projects within a dynamic team environment.
Company overview
Hudson River Trading (HRT) is a quantitative trading firm that leverages advanced mathematical models and cutting-edge technology to engage in algorithmic trading across global financial markets. Founded in 2002 by Jason Carroll, Suhas Daftuar, and Alex Morcos, HRT generates revenue by executing high-frequency trades, capitalizing on market inefficiencies. The firm is known for its collaborative culture and significant investment in research and development, which has positioned it as a leader in the financial technology sector.
How to land this job
Position your resume to highlight your data analytics proficiency, especially with Python and relevant libraries like Pandas and Numpy, as these are crucial for the Market Structure Optimization Engineer role at Hudson River Trading.
Emphasize your experience with time series analysis, network protocols, and any previous work related to latency reduction in financial markets to align with the job requirements.
Apply through multiple channels, including Hudson River Trading's corporate site and LinkedIn, to maximize your chances of being noticed for this position.
Engage with professionals in the Market Structure Analytics team on LinkedIn to express your interest in the role; potential ice breakers could include asking about their experiences with specific trading venues or discussing recent market trends.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data-driven methodologies,' 'network protocols,' and 'real-time exchange market data' to enhance the likelihood of passing initial screenings.
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