EMEA Quant Trader & Researcher — High-Frequency Alpha, Hybrid
Tower Research Capital
14 days+
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Benefits offered by this job
Job summary
A leading quantitative trading firm is seeking a Quantitative Trader/Researcher to develop and deploy trading algorithms using their in-house system. Candidates should possess a degree in Mathematics or related fields and strong programming skills in Python and/or C++. The role involves designing algorithms and analyzing market data for patterns. This firm values a collaborative culture and offers generous benefits including hybrid working opportunities and wellness experiences.
Qualifications
- Experience in high-frequency trading or quantitative trading is preferred but not a requirement.
- Familiarity with signal generation and statistical models.
Responsibilities
- Designing, implementing, and deploying trading algorithms.
- Researching high to mid-frequency alphas.
- Exploring trading ideas by analyzing market data for patterns.
- Creating tools to analyze data for patterns.
Skills
Strong programming skills in Python and/or C++
Solid data-mining and analysis skills
A strong background in mathematics and statistics
Proficiency in back-testing, simulation, and statistical techniques
Education
Bachelor's, Master's, or PhD in Mathematics, Statistics, Computer Science, or equivalent
Job description
A leading quantitative trading firm is seeking a Quantitative Trader/Researcher to develop and deploy trading algorithms using their in-house system. Candidates should possess a degree in Mathematics or related fields and strong programming skills in Python and/or C++. The role involves designing algorithms and analyzing market data for patterns. This firm values a collaborative culture and offers generous benefits including hybrid working opportunities and wellness experiences.
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