This role is for one of the Weekdays clients
As a Quant Engineer you will be instrumental in developing and maintaining our trading systems and infrastructure. Your role involves working closely with traders quants and engineers to design innovative trading solutions and enhance system performance driving growth and profitability. This position offers a dynamic highpressure environment where you will collaborate with crossfunctional teams to advance the field of systematic trading.
Responsibilities:
- System Development and Maintenance: Design develop and maintain robust trading systems and infrastructure to support trading activities and strategies.
- Performance Optimization: Optimize system performance and scalability to ensure efficient operations and maximize alpha generation.
- Collaboration: Work closely with traders quants and engineers to implement and refine trading solutions.
- Industry Awareness: Stay informed about industry trends and emerging trading technologies to keep our systems at the cutting edge.
- Compliance: Ensure all activities comply with internal processes and standards.
Requirements:
- Education: Bachelor s degree in Computer Science Engineering or a related field.
- Experience: 710 years of experience in financial or fintech development.
- Technical Skills: Expertise in lowlatency coding with Java C C# and Python.
- Database Experience: Experience with tick databases such as kdb and q is preferred.
- Analytical Skills: Strong problemsolving analytical and data analysis abilities.
- Work Environment: Experience thriving in fastpaced entrepreneurial environments.
- Communication: Strong collaboration and communication skills.
Skills and Competencies:
- Data Analysis: Advanced investigative and data analysis skills to drive insights and improvements.
- ProblemSolving: Excellent problemsolving capabilities and meticulous attention to detail.
- Engineering Expertise: Strong engineering instincts with a deep understanding of computer science fundamentals.
java,c++,computer science fundamentals,python,data analysis,tick databases,q,kdb+,c#,problem-solving,trading