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Jump Trading Group is looking to enhance its quantitative research capabilities by developing predictive models and automated trading strategies for live trading, aiming to understand market complexities and generate profitable trading models.

Requirements

• Outstanding skills in computer science, machine learning, statistics, and mathematics
• Programming experience
• C++
• Python
• statistics

Responsibilities

• develop your own predictive models and automated trading strategies for live trading
• work with our trading teams on meaningful projects with real impact
• get training in all of these areas, with a focus on our research process for signal generation, machine learning, trading / market mechanics, C++, Python, and statistics
• seek scientific boundaries, push through them, and apply cutting edge research to global financial markets
• examine the global markets, seeking to understand the complexities of various traded products and exchanges
• leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models

Other

• Competitive spirit and uncommon drive to learn and improve
• Appetite for risk-taking
• Demonstrated interest in financial markets
• Reliable and predictable availability required
• INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.