7 часов назад
Algorithm Developer (Quant Research & Trading) – 2027 Grads
300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Algorithm Developer (Quant Research & Trading) – 2027 Grads (Python/C++ and Machine Learning): Building predictive trading models and order execution methods from large-scale market and financial data with an accent on statistical analysis, numerical programming, and high-performance trading infrastructure. Focus on researching and testing novel algorithms, running models live, and analyzing daily performance to maintain trading efficiency and profitability.
Location: London, United Kingdom; New York, NY, United States; Singapore
Salary: US base salary of $300,000 annually; 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 of financial products.
What you will do
- Build and maintain quantitative models that drive trading strategies.
- Apply statistical analysis to large volumes of market and financial data to produce predictive trading models.
- Research, develop, and test order execution and model training methods.
- Run models live on high-performance trading infrastructure.
- Analyze daily trading performance and maintain ongoing profitability.
- Collaborate with Algorithm Developers and Software Engineers while solving long-term technical problems independently.
Requirements
- Full-time undergraduate or master's student in mathematics, physics, computer science, statistics, or a related quantitative discipline.
- Eligible for full-time roles in 2027.
- Programming experience in Python and/or C++.
- Experience with statistical analysis, numerical programming, or machine learning using Python, Pandas/Numpy, R, and/or MATLAB.
- Strong analytical and problem-solving skills.
- Ability to work creatively and independently on long-term technical problems.
Culture & Benefits
- Scientific, research-driven approach to algorithmic trading.
- Access to a sophisticated computing environment for research and development.
- Collaborative culture that values openness, transparency, and ideas from both new hires and experienced colleagues.
- Company-paid medical and other benefits.
- Equal opportunity workplace with a diverse international staff.
- AI tools are prohibited during interviews or assessments unless explicitly permitted.
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