Quantitative Developer - Research Team- Systematic Quant Fund - eFinancialCareers : Job Details

My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors. About the Role:As a Quantitative Developer on the Research Team, you will play a crucial role in designing, developing, and supporting the software infrastructure that underpins trading signal research. You will collaborate closely with quantitative researchers and traders, contributing to the continuous enhancement of trading strategies. This role offers the opportunity to work with large datasets, high-performance computing (HPC), and machine learning models, in a fast-paced, intellectually stimulating environment.

• Design, develop, and maintain Python- and C++-based tools and applications used for quantitative research and trading signal generation.
• Partner with researchers and traders to understand their requirements and translate them into effective technical solutions.
• Manage the ingestion and processing of large volumes of data efficiently and securely.
• Implement algorithms and models, including linear regressions and machine learning techniques, to support trading strategies.
• Utilize HPC and distributed systems to ensure high performance, scalability, and reliability of applications.
• Provide ongoing support, troubleshooting, and optimization for existing tools and systems.

Requirements:

• 5+ year track record of solving challenging problems through coding
• A deep passion for technology, software development, and mathematics
• Strong software development skills in Python and/or C++
• Experience with some of the following areas: Distributed Computing, Machine Learning, Platform Development, System Design, and/or Web Development
• Proven leadership and mentoring abilities with a self-directed approach to work

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. ContactIf this sounds like you, or you'd like more information, please get in touch: Jack Peck[e] [t] + in/jack-peck-448a70131