High Frequency Trading Intern

Hilbert Technologies Inc.; New York (NY); On-site; USD 60,000 - 80,000; Part time

Job summary

Hilbert Technologies Inc. in New York is seeking a motivated individual to handle high-frequency financial data and develop quant-driven trading strategies. Candidates should possess a BS/MS/PhD in a STEM field and demonstrate strong Python and C++ skills.

This role involves significant responsibility for managing complex data and requires a commitment of at least 20 hours per week for a minimum of two months. Ideal candidates will be proactive learners, dedicated, and ready to work in a dynamic environment.

Qualifications

• BS/MS/PhD degree with a STEM major – Engineering, Computer Science, Math, Physics (or related subject).
• Ability to work for at least 20 hours per week, for a minimum of 2 months.
• Strong Python and C++ programming background.
• Familiarity with Linux environment.

Responsibilities

• Handle multi-dimensional data of high frequency with in-depth knowledge of market microstructure behaviors.
• Alpha hunting based on high-frequency financial data.
• Develop and backtest quant driven trading strategies.

Skills

Python programming

C++ programming

Linux environment familiarity

Strong working ethic

Good communication skills

Education

BS/MS/PhD degree with a STEM major

Job description

Hilbert Technologies is a quantitative investment management company trading in various financial markets.Our investmentstrategies are created through rigorous research based on mathematic models, and weimplement them using advanced networks and algorithms.

With young and dynamic team, innovative ideas and cutting-edge technology, we dedicate to producing exceptional returns for our investors.

Job Description

• Handle multi-dimensional data of high frequency with in-depth knowledge of market microstructure behaviors.
• Alpha hunting based on high-frequency financial data
• Develop and backtest quant driven trading strategies

Qualifications

• BS/MS/PhD degree with a STEM major – Engineering, Computer Science, Math, Physics (or related subject).
• Ability to work for at least 20 hours per week, for a minimum of 2 months.
• Strong Python and C++ programming background.
• Familiarity with Linux environment.
• Desire to learn the intricacies of financial markets.
• Fast learner of new concepts and even new domains.
• Be dedicated and self-disciplined with a strong working ethic and willing to help others.
• Be proactive with good communication with team members.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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