21 день назад
Women in Trading and Technology Internship (WiTTI) – Winter 2027
5 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Women in Trading and Technology Internship (WiTTI) – Winter 2027 (Python/C++/Quantitative Trading): Exploring quantitative trading through hands-on programming projects, technical seminars, and introductions to software engineering and algorithm development with an accent on Python, C++, and quantitative finance. Focus on building independent programming projects, learning algorithmic trading concepts, and solving technical problems in an in-person New York City program.
Location: In-person at the New York City office, New York, United States
Salary: $5,800 per week, plus company-paid housing, meals, and other perks.
Company
applies a scientific approach to financial trading and develops sophisticated computing systems for research, development, and algorithmic trading.
What you will do
- Complete hands-on independent programming projects in Python and C++.
- Explore technical aspects of quantitative trading.
- Learn about software engineering and quantitative research through algorithm development.
- Participate in technical talks and seminars.
- Take part in social and networking events in New York City.
Requirements
- Be a full-time undergraduate student graduating between fall 2028 and summer 2030.
- Study a technical or quantitative discipline such as mathematics, physics, computer science, statistics, or a related field.
- Have demonstrated programming experience; familiarity with C, C++, Python, and/or Rust is preferred.
- Show strong problem-solving and communication skills.
- Have a passion for technology and enthusiasm for learning new concepts.
- Be available for the in-person program beginning January 4, 2027, for two, three, or four weeks based on the university winter break schedule.
Culture & Benefits
- Inclusive environment welcoming women+, non-binary students, and people of all identities.
- Scientific, research-driven approach to algorithmic trading and technology.
- Company-paid housing and meals during the program.
- Open and transparent environment that values ideas from both experienced employees and new hires.
- AI tools are prohibited during interviews and assessments unless explicitly authorized.
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