5 дней назад
Algorithm Developer (Quant Research & Trading) – 2027 PhDs
300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Algorithm Developer (Quant Research & Trading) – 2027 PhDs (Python/Statistical Modeling): Building and maintaining predictive trading models from large-scale market and financial data with an accent on statistical analysis, machine learning, and high-performance trading infrastructure. Focus on researching order execution and model training methods, running models live, and analyzing daily performance to improve trading efficiency.
Location: London, United Kingdom; New York, United States; or Singapore
Base salary: $300,000 annually in the United States; other locations offer locally competitive base salaries. Sign-on and discretionary performance bonuses are also provided.
Company
applies scientific research and sophisticated computing to algorithmic trading across worldwide financial markets.
What you will do
- Build and maintain predictive models that drive trading strategies.
- Apply statistical analysis to large volumes of market and financial data.
- Research, develop, and test order execution and model training methods.
- Run models on high-performance trading infrastructure and analyze daily performance.
- Collaborate with Algorithm Developers and Software Engineers to identify and solve technical problems.
Requirements
- Full-time PhD student in a quantitative discipline, such as mathematics, physics, computer science, statistics, or a related field, eligible for full-time roles in 2027.
- Fluency in Python.
- Experience with statistical analysis, numerical programming, or machine learning in Python.
- Experience with Pandas, NumPy, R, and/or MATLAB.
- Strong analytical and problem-solving skills, with the ability to work creatively and independently on long-term technical problems.
Culture & Benefits
- Scientific, research-oriented approach to algorithmic trading.
- Access to a sophisticated computing environment for research and development.
- Open and transparent culture that values ideas from both experienced and new hires.
- Company-paid medical and other benefits.
- Sign-on and discretionary performance bonuses.
- AI tools are prohibited during interviews or assessments unless explicitly permitted.
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