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Company | Atto Trading |
Address | Miami, FL, United States |
Employment type | FULL_TIME |
Salary | |
Category | Capital Markets |
Expires | 2023-06-03 |
Posted at | 1 year ago |
At Atto Trading, we are building a dynamic, technology-driven, research-oriented quantitative trading firm. Our strategies succeed by being smart, and speed is only one component of our edge. By joining us, you will be working in a small team environment, where you can make direct contributions to solving some of the hardest problems in the industry. We're always seeking ways to become better at what we do, and you have the opportunity to hit the ground running on day 1. We are also fully remote.
We are entering a critical phase of rapid growth, with new asset classes and trading styles, powered by a new technology platform. You will have the opportunity to work on the entire strategy life-cycle, while helping build the future of Atto.
Responsibilities
We are entering a critical phase of rapid growth, with new asset classes and trading styles, powered by a new technology platform. You will have the opportunity to work on the entire strategy life-cycle, while helping build the future of Atto.
Responsibilities
- Contributing to the entire strategy life-cycle including ideation, design, implementation, testing, execution, and analysis
- Implementing strategies and strategy improvements in C++
- Building and enhancing models, signals, and strategies that trade a variety of financial instruments
- Developing data analysis tools
- Analyzing and extracting insights from market data
- Undergraduate degree or higher in computer science, statistics, math, physics, or a related field
- Proficient in C++ and Python (including NumPy and pandas)
- Understanding of financial market dynamics and financial data at the microstructural level
- Creative problem solver who can quickly generate results and iterate
- At least 1 year of experience in high-frequency trading and/or quantitative trading. Exceptional candidates with internship-only experience will be considered
- Knowledge of statistical/ML techniques and intuition for working with data. Understands the tradeoffs between different statistical/ML techniques
- Excellent communication and teamwork
- Competitive compensation and discretionary bonus (focused on business results)
- Medical insurance
- Corporate training
- An excellent place for career advancement
- The opportunity to develop every day professional competencies and gain a unique experience
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