3 дня назад
Entry Level Quantitative Researcher
175 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Entry Level Quantitative Researcher (Quantitative Trading): Designing predictive signals and improving algorithms for prediction, trade execution, portfolio construction, and risk management with an accent on statistical rigor, machine learning, and quantitative decision-making. Focus on building infrastructure, analyzing imperfect data, investigating edge cases, and managing production systems across the technology stack.
Location: New York, New York, United States
Annual base pay: $175,000–$225,000, prorated based on internship start and end date.
Company
is a global multi-strategy, multi-manager investment platform specializing in quantitative trading, fundamental equity, tactical trading, and discretionary macro and fixed income strategies.
What you will do
- Design novel predictive signals and enhance algorithms for prediction, trade execution, portfolio construction, and risk management.
- Collaborate with quantitative researchers and developers on projects across the technology stack.
- Build infrastructure, collect and validate data, conduct machine learning studies, and manage production systems.
- Work with in-house and open-source libraries and contribute to the growth and diversification of the quantitative trading business.
- Investigate missing data, outliers, statistical errors, convergence failures, software bugs, and other edge cases.
Requirements
- Bachelor’s, Master’s, or PhD degree in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science.
- Recent graduate or final-year student preferred.
- Ability to work on projects using C++, JavaScript, Python, Rust, and Go.
- Willingness to work at any level of the stack and take projects through to completion.
- Strong intuition for maximizing expected value under imperfect information, risk, and adversarial conditions.
- Careful, detail-oriented approach to data quality, statistical analysis, software correctness, and production reliability.
Culture & Benefits
- Immediate access to data and code with opportunities to contribute from the first day.
- Mentorship and collaboration with experienced researchers.
- Clear ownership, visibility, and exposure to multiple facets of quantitative trading.
- Culture centered on ambition, creativity, rigor, hard work, and continuous learning.
- No previous financial experience is required.
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