9 дней назад
Data Scientist Intern (Algorithmic Trading)
5 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist Intern (Algorithmic Trading) (Python/pandas/polars): Investigating, validating, and enriching vendor, quantitative, and textual data for algorithmic trading research and risk management with an accent on data quality, feature extraction, and rigorous validation. Focus on designing independent data investigations, applying statistical and engineering practices, and identifying reliable signals from large-scale financial datasets.
Location: New York, NY, United States
Salary: $5,800 weekly base salary, plus company-paid housing, meals, and other perks.
Company
applies scientific research, automation, and advanced computing to algorithmic trading and financial markets.
What you will do
- Investigate and analyze large volumes of vendor, quantitative, and textual data.
- Normalize and validate data used in research, automated trading, and risk management.
- Extract features and insights from complex datasets.
- Apply rigorous quality checks and investigate methodologies for improving data quality.
- Complete independent data projects in Python using open-source libraries such as pandas and polars.
- Learn about trading and research infrastructure through technical project work and mentorship.
Requirements
- Full-time student pursuing a STEM degree; a computer science background is not required.
- Programming experience with Python at the level of “Python for Data Analysis” by Wes McKinney.
- Curiosity about working with data and finding insights.
- Exceptional attention to detail.
- Strong communication skills.
Nice to have
- Independent data projects or participation in Kaggle competitions.
Culture & Benefits
- Hands-on introduction to data, modeling, and engineering practices in algorithmic trading.
- Technical mentorship and opportunities to learn about global financial markets.
- Company-paid housing, meals, and other perks.
- Opportunities to connect with interns and participate in team events.
- Collaborative culture focused on openness, transparency, and innovative ideas.
Hiring process
- Only one application is allowed; candidates are considered for all open positions based on their selected role.
- AI tools are prohibited during interviews or assessments unless explicitly authorized.
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