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Virtu is a leading financial firm that leverages cutting edge technology to offer liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide.
The Role
Our ETF Traders are responsible for the design, operation, and improvement of high‐performance algorithmic trading strategies deployed on both electronic trading venues and RFQ trading platforms around the world. Our ETF traders also build and manage relationships with issuers and other trading partners. This team works closely with software engineers to enhance and further develop the firm's trading strategies. We are looking to significantly expand our market presence in China, Korea and Taiwan.
Education, Qualifications and Experience:
THE PROCESS
After applicants pass an initial resume screening, an online programming test will be emailed to you via Hackerrank. Upon review, we will reach out to arrange next steps. We are looking forward to meeting you!
Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Job ID: 149758185
Skills:
Tensorflow, Numpy, Rust, Scipy, Pandas, Pytorch, Python
Skills:
Machine Learning, Linux Administration, Python, Statistics
Skills:
Python, Data-driven analysis, Automated trading systems, market microstructure
Skills:
order routing , Python, risk management, Data Analysis, order types, backtesting frameworks, algorithmic execution, Statistical Techniques, market microstructure, advanced analytics tools, time-series analysis
Skills:
Python, Data-driven analysis, Automated trading systems, market microstructure
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