7 часов 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/Quantitative Research): Building predictive trading models and order execution methods from large-scale market and financial data with an accent on statistical analysis, machine learning, and high-performance trading infrastructure. Focus on researching, testing, deploying, and analyzing live models to improve trading efficiency and maintain profitability.
Location: London, United Kingdom; New York, NY, United States; or Singapore
Salary: US base salary of $300,000 per year; other locations offer locally competitive base salaries. Sign-on and discretionary performance bonuses are also provided.
Company
applies scientific research and sophisticated computing infrastructure to algorithmic trading across global financial markets.
What you will do
- Build and maintain predictive models that drive trading.
- 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 mathematics, physics, computer science, statistics, or a related quantitative discipline, 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-driven approach to financial trading.
- Access to advanced computing infrastructure for research and development.
- Collaborative culture focused on openness, transparency, and innovation.
- Company-paid medical and/or other benefits.
- Equal opportunity workplace with a diverse international staff.
Hiring process
- AI tools are prohibited during interviews or assessments unless explicitly authorized.
- Candidate responses may be evaluated for authenticity.
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