1 день назад
2027 Internship - Quantitative Researcher (PhD) (Fintech)
5 000 - 5 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
2027 Quantitative Researcher Intern (PhD) (Fintech): Improving trading algorithms by transforming large trading datasets into quantitative models and identifying patterns for market-making strategies with an accent on mathematical research, data analysis, and algorithmic problem-solving. Focus on building trading ideas, analyzing large datasets, and solving complex quantitative problems with C/C++ and Python.
Location: New York, United States; training week held in New York or Austin.
Salary: $5,000–$5,800 weekly, excluding sign-on bonuses, housing, meals, benefits, and other compensation.
Company
is a financial technology firm operating proprietary trading and client-facing businesses across global financial markets.
What you will do
- Transform large trading datasets into usable quantitative models.
- Research patterns that can improve trading algorithms used in the market-making business.
- Apply data analysis tools to large trading datasets and develop trading ideas.
- Complete one or two research projects with guidance from senior mentors across different teams.
- Work independently and collaboratively with senior quantitative researchers, traders, and developers.
Requirements
- Advanced degree, preferably a PhD, in science, mathematics, engineering, or another quantitative field.
- Strong academic record with diverse and challenging quantitative coursework.
- Exceptional quantitative, mathematical, and problem-solving skills.
- Strong programming skills, especially in C/C++, Python, and Pandas.
- Ability to express ideas mathematically and algorithmically and solve technical or quantitative problems under pressure.
- Strong communication, collaboration, intellectual curiosity, self-motivation, flexibility, and interest in financial markets.
Culture & Benefits
- Ten-week internship program with ongoing training and a dedicated global training week.
- Real quantitative projects supported by several senior mentors.
- Onsite gym and workout classes, onsite barista, and transportation, varying by location.
- Breakfast, lunch, weekly happy hours, and social events.
- Collaborative, flat organization combining startup-style creativity with financial-services stability.
Hiring process
- Initial resume screening.
- Online programming test delivered through HackerRank.
- Further interviews and next steps after the test review.
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