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Skills
Artificial Intelligence (AI)unmatched
C++ Programming Languageunmatched
Computer Scienceunmatched
Customer/Client Researchunmatched
Futuresunmatched
IP (Internet Protocol)unmatched
Investment Managementunmatched
Mathematicsunmatched
Physicsunmatched
Profit & Lossunmatched
Quality Managementunmatched
Simulationunmatched
Statisticsunmatched
Strategic Planningunmatched
Description
About Us:
Atto Trading is a quantitative trading firm operating a portfolio of signal-driven high-frequency strategies in cash equities and futures.
We are building a global, diverse team, with experts in trading, statistics, engineering, and technology to trade global markets. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning & collaboration allows us to solve the world’s hardest problems, together.
As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort.Responsibilities:
Develop quantitative strategies with a minimum annual PNL of $2MM USD, Sharpe of 5, and an ROC of >= 75%
Manage all aspects of developing and managing the strategies, given the firm-provided platform and infrastructure
Requirements:
Bachelor or higher degree in a quantitative discipline (Computer Science, Math, Physics)
Strategy with a proven track record of recent and consistent production performance
Deep understanding of strategies and research process
Self-driven
If applying individually, you must know C++. If applying as a team, at least 1 member needs to be proficient in C++.
AI & Productivity Tools: Demonstrated ability to effectively leverage modern AI tools (e.g., generative AI, code assistants, research and productivity tools) to improve quality, speed, decision-making, and workflow efficiency while maintaining strong judgment, accuracy, and ownership of outcomes.
When applying:
Please include your strategy performance data and business plan, and some metrics.
Description of strategies (and/or research without any IP sensitive details).