Job
Graduate HFT Researcher (2024 Start – Austin) – (PhD Preferred)
Optiver
•
Oct 19
💼 Graduate Job
Austin
AI generated summary
- The ideal candidate must have a degree in a quantitative field, exceptional analytical and mathematical skills, a passion for applying machine learning and statistical modeling techniques, an interest in strategic games or competitive activities, and proficiency in Python.
- The Graduate HFT Researcher will analyze market data, develop trading strategies, and implement algorithmic models to optimize trade execution and profitability. They will also collaborate with team members to enhance trading performance using statistical models and machine learning algorithms.
Description
- HFT team members are equipped with an extensive pool of proprietary data. Using this data, they craft state-of-the-art statistical models to forecast future prices and formulate tactics to execute trades optimally in rapidly changing scenarios. In essence, our HFT roles will be in charge of constructing and upholding the models that propel our trading.
Requirements
- Graduating with a bachelor’s, master’s or PhD (preferred) in a quantitative field (e.g. math, statistics, computer science, physics, or a related program)
- Have an expected graduation date between December 2023 and June 2024 (spring and fall 2024 start dates available)
- Possess superior analytical, statistical and mathematical skills
- Passionate for utilizing machine learning algorithms and statistical modeling techniques towards solving real-world, complex problems
- Interested in strategic games and/or competitive activities
- Proficient in Python
Education requirements
Bachelors
Masters
PhD
Area of Responsibilities
Research & Development
Data
Responsibilities
- Conduct research and analysis on high frequency trading strategies, market microstructure, and financial instruments to identify trading opportunities
- Design and implement algorithmic trading models to optimize trade execution and profitability
- Develop statistical models and machine learning algorithms to predict market behavior and analyze trading performance
- Utilize big data technologies and tools to collect, process and analyze large volumes of market data
- Collaborate with traders and other team members to identify areas of improvement and enhance trading performance
Details
Work type
Full time
Work mode
office
Location
Austin