2 дня назад
Quantitative Developer Intern (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Developer Intern (Python): Developing Python tools and full-stack workflows with quantitative researchers to evaluate and improve quantitative trading strategies with an accent on research processes, data analysis, and production-grade software engineering. Focus on iterating rapidly to improve desk P&L, building workflow orchestration capabilities, and solving quantitative finance problems in a collaborative environment.
Location: Singapore
Company
Quantitative trading firm developing electronic trading infrastructure, research platforms, and business support systems for global trading operations.
What you will do
- Iterate quickly with quantitative researchers on research processes to improve the P&L of quantitative trading strategies.
- Develop Python tools used across the quantitative research process.
- Design full-stack workflows with quantitative researchers to evaluate and improve trading strategies.
- Collaborate with distributed teams in a fast-paced, intellectually demanding environment.
Requirements
- Be a final-year bachelor's or master's student in computer science, engineering, applied mathematics, or a related field.
- Be available for a 10-week internship.
- Have a strong interest in quantitative finance and software development.
- Have a solid foundation in Python, with exposure to NumPy, Pandas, or Polars through coursework or personal projects.
- Demonstrate curiosity, problem-solving ability, good communication skills, and willingness to work as part of a distributed team.
- Have an interest in large-scale systems, workflow orchestration, and production-grade software engineering practices.
Nice to have
- Exposure to C++ and scripting languages such as Bash.
Culture & Benefits
- Collaborative, welcoming, and diverse workplace with limited hierarchy and no unnecessary ego.
- Competitive compensation package.
- Free breakfast, lunch, and snacks daily.
- Networking and social events.
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