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Company | Arslan Capital Management LLC |
Address | Austin, TX, United States |
Employment type | FULL_TIME |
Salary | |
Expires | 2023-08-08 |
Posted at | 10 months ago |
About Us
Arslan Capital Management (ACM) is an asset management firm based in Austin, TX. Founded in 2018, we employ fully automated and systematic trading systems based on quantitative models.
Position Description
We are looking for a problem solver with a technical skill set who can communicate clearly, and has an interest in the financial markets and especially quantitative trading. You will become one of the first members of a team which we believe will be an impressive success story in the future.
This is a good opportunity for individuals interested in quantitative/algorithmic trading to get real world experience in all aspects of the field and learn skills from a hi-tech firm with an excellent track record.
Your pay will be competitive and be based on your experience and skill. The position is for an optional hybrid work policy, with at least 3 days per week in our Austin, TX office.
Your responsibilities will include:
- Gain sufficient experience to help improve current trading strategies and order execution, and research new strategies
- Build or improve infrastructure for automating and optimizing operational tasks
- Be involved in updating and improving marketing material as well as internal documentation
- Review portfolio positions and trades and troubleshoot any issues, potentially by interfacing with vendors, brokers and external fund administrators
- Implement and conduct research and studies as directed by experienced traders
- Monitor, support and maintain production processes and infrastructure for our automated trading framework, resolve any encountered problems, and execute trades when manual intervention is required
Requirements
- Master's Degree or PhD in in Computer Science, Mathematics, Engineering, Finance or other technical discipline, or alternatively have 2+ years of work experience as a software developer, data scientist, or in finance
- Be an experienced programmer, preferably in Python
- Have excellent analytical skills and have attention to detail
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