- Research and implement trading strategies.
- Design and build frameworks or backtest engines to facilitate research and trading.
- Implement and conduct research and studies that improve strategy performance and execution
- 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
- Review portfolio positions and trades and troubleshoot any issues, potentially by interfacing with vendors, brokers and external fund administrators
- Build or improve infrastructure for automating and optimizing operational tasks
- Master's Degree or PhD in in Computer Science, Mathematics, Engineering, Finance or other technical discipline.
- Have 5+ years of institutional trading or hedge fund experience
- Be an experienced programmer, preferably in Python
- Have excellent analytical skills and have attention to detail
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Quantitative Trader - Austin, United States - Arslan Capital Management LLC
Description
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 working at 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 a hybrid work policy, with at least 3 days per week in our Austin, TX office. Fully remote work option might be offered to certain candidates on a case by case basis.
Your responsibilities will include:
Requirements
