
11 - 50 employees
Founded 2014
💸 Finance
💳 Fintech
🔬 Science
Finance • Fintech • Science
Vector Trading is a proprietary trading firm that focuses on leveraging technology and statistical modeling for trading strategies in financial markets. Founded in 2014, the company prides itself on a culture of innovation, collaboration, and excellence, with a strong emphasis on research and development. Vector Trading's team includes skilled traders, quantitative researchers, and engineers who work together to implement high-frequency trading strategies using proprietary algorithms and automated systems. The firm aims to lead in applying advanced technology to make informed trading decisions and enhance market efficiency.
🔥 38 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2014
💸 Finance
💳 Fintech
🔬 Science
Finance • Fintech • Science
Vector Trading is a proprietary trading firm that focuses on leveraging technology and statistical modeling for trading strategies in financial markets. Founded in 2014, the company prides itself on a culture of innovation, collaboration, and excellence, with a strong emphasis on research and development. Vector Trading's team includes skilled traders, quantitative researchers, and engineers who work together to implement high-frequency trading strategies using proprietary algorithms and automated systems. The firm aims to lead in applying advanced technology to make informed trading decisions and enhance market efficiency.
• Explore trading ideas by analyzing market data with fundamental statistical theories • Apply programming, quantitative and statistical skills to the research of market trends, reversions, patterns, and complete data-driven projects • Apply statistical techniques throughout the whole process from data mining to execution • Be self-sufficient designing, building, maintaining and enhancing a systemic and data-driven approach with tools necessary to test and evaluate trading algorithms and business opportunities • Conduct research to improve risk management, revenue capture, and market coverage and contribute to libraries of analytic tools for market data analytics and trade strategy optimization • Adhere to risk and capital usage limits • Coordinate daily trading activities with operations, trading support, brokers, among others • Use data analysis tools to identify and respond to unique market opportunities • Use cutting edge technology to build out effective trading strategies • Mentor, manage or train junior traders to complete projects and learn all facets of trading
• 3+ years of experience, with at least 1 year in a risk-taking role • Bachelor, Masters or Ph.D. degree in any scientific field • Experience in linear algebra, statistics, and interaction with large datasets • Strong understanding of statistical approaches and predictive modeling techniques (including regression analysis, neural networks, genetic algorithms, SVD, etc.), their underlying assumptions, limitations, and the proper use for each methodology • A calculated risk-taker with demonstrated experience monetizing opportunities in financial markets • Comfort working within a collaborative, team-oriented fast-changing environment which fosters free-flowing creativity • Strong work ethic, compliance and willingness to do what it takes to get the job done • Excellent verbal and written communication skills • Strong proficiency in C++ Programming languages • R, Python, Lua are a plus • Proven profitability track record trading across multiple strategies or asset classes is a major plus
Apply Now