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Quantitative Talent Ltd is seeking a skilled Quantitative Trader to join its team in London. This role will involve developing and deploying algorithmic trading strategies based on patterns in market behavior.
Responsibilities- Designing, implementing, and deploying trading algorithms
- Exploring trading ideas by analyzing market data, market micro-structure, and alternate data for patterns
- Creating tools to analyze data for patterns
- Contributing to libraries of analytical computations to support market data analysis and trading
- Developing, augmenting, and calibrating exchange simulators
- A Masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree
- Experience designing, implementing, and deploying high-frequency trading (HFT) and/or mid-frequency trading (MFT) algorithmic strategies
- A strong background in mathematics and statistics
- Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
- Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
- Familiarity with signal generation and statistical models
- Strong programming skills in Python and C++
- Achievements in the International Mathematical Olympiad (IMO) and/or the International Olympiad in Informatics (IOI)