Join a proprietary trading group to design, implement, and deploy high-frequency trading algorithms. Analyze market data and microstructure for trading ideas, build data-analysis tools and analytical libraries, and develop/calibrate exchange simulators to support algorithmic strategies.
AlphaGrep seeks a Quantitative Trading Intern, who will be part of a trading group which executes algorithmic strategies based on market behavior. We cover the global markets by leveraging and integrating technology, risk management and quantitative research. Being a proprietary trading business, we trade our own accounts and have no investors, clients or customers.
- Designing, implementing, and deploying high-frequency trading algorithms
- Exploring trading ideas by analyzing market data and market microstructure for patterns
- Creating tools to analyze data for patterns
- Contributing to libraries of analytical computations to support market data analysis and trading
- Developing, augmenting, and calibrating exchange simulators
QUALIFICATIONS
AlphaGrep encourages bachelor’s, and master’s students in computer science, mathematics and related fields to apply.
Additional requirements include:
- Familiarity with machine learning (a plus)
- Experience with data analysis, market research and data modeling (a plus)
- Brilliant problem-solving abilities
- Software development experience as demonstrated through course work, research projects, or open source activities, preferably in C++, Python or R/Matlab
- A passion for new technologies and ideas
- The ability to manage multiple tasks in a fast-paced environment
- Strong communication skills
- A working knowledge of Linux/Unix
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