A Quantitative Engineer, often referred to as a Quant Engineer, works at the intersection of finance, mathematics, and computer science. They use mathematical models, statistical techniques, and programming skills to analyze financial data and develop algorithms for trading, risk management, and financial decision-making. Here are some of the key responsibilities and skills associated with a Quant Engineer:
MAJOR RESPONSIBILITIES: Responsibilities will include, but are not limited to: • Design, develop, support and maintain trading systems, tools and infrastructure. • Optimising performance and scalability of our trading and research systems helping unlock growth and alpha. • Collaborate with traders, quants, risk and the wider engineering team. • Keeping up to date across industry developments and trends, the latest trading architecture and development techniques.
Qualifications • Bachelor’s degree in computer science engineering, or related field. • 5+ years of professional experience in financial, fintech and/or quant development. • Expertise in low latency coding (primarily in Java, other low level languages such as C++, C#). • Proven analytical skills. • Problem-solving attitude.
Skills Must have • Experienced at writing low latency software in Java • Experience with Chronicle software highly preferred • Experience with python • Experience working with tick databases (kdb+ and q highly preferred) • Experience in entrepreneurial, high-pressure environments. • Good understanding of financial markets, quantitative methods and systematic trading • Intelligent, pragmatic with strong engineering instincts and a deep understanding of computer science fundamentals • Ability to write well-architected simple code and continually improve that codebase. • Advanced investigative and data analysis skills • Experience collaborating with cross-functional teams and stakeholders. • Excellent problem-solving skills and attention to detail.
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