Job Description

About Us

Arslan Capital Management (ACM) is an Austin, TX-based asset management firm specializing in fully automated, systematic trading systems powered by machine learning-based quantitative models. Since our establishment in 2018, we have built and maintained a robust track record through cutting-edge technology and rigorous research. At ACM, your contributions will directly shape the firm's continued success and drive innovation in the field of systematic trading.

Position Description

We are seeking an accomplished quantitative trader with extensive experience in developing and executing profitable trading strategies. The ideal candidate will excel in a dynamic, collaborative environment, demonstrate exceptional problem-solving abilities, and possess the technical skills needed to make immediate contributions. This role is an excellent opportunity for individuals with backgrounds in leading asset management firms or trading institutions who are eager to drive innovation and success. This role provides a platform for innovative thinkers to take ownership of their work and grow within a dynamic, high-performance team, contributing to ACM's continued success.

This position offers a competitive compensation package commensurate with experience and expertise. While the role operates under a hybrid work policy—requiring a minimum of three days per week in our Austin, TX office—fully remote options may be considered for exceptionally qualified candidates.

Your responsibilities will include:

• Research and implement profitable and robust trading strategies.
• Design and develop advanced frameworks or backtesting engines to enhance research and trading capabilities.
• Conduct innovative research to optimize strategy performance and execution.
• Monitor, support, and maintain production systems for our automated trading framework, troubleshoot issues, and execute trades when manual intervention is required.
• Build or enhance infrastructure to automate and streamline operational tasks.
• Mentor and lead junior researchers, analysts, and traders, fostering a culture of innovation and excellence.

Requirements

• At least 5 years of experience in institutional trading or with a top-tier trading organization.
• Master's Degree or PhD in in Computer Science, Mathematics, Engineering, Finance or other technical discipline, preferably from a prestigious institution is highly desirable.
• Strong programming expertise, with a preference for Python.
• Exceptional analytical skills and meticulous attention to detail.
• Demonstrated ability to independently research, develop, and implement trading strategies.
• Experience in managing or mentoring a team is a valuable advantage.

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