Quantitative Researcher (PhD 2027 Graduates) | NYC Hedge Fund
Selby Jennings Manhattan, United StatesQuantitative Researcher (PhD 2027 Graduates) | NYC Hedge Fund
Quantitative Researcher (PhD 2027 Graduates) | Leading NYC Hedge Fund
A top quantitative hedge fund is seeking highly motivated PhD students graduating in 2027 to join its Quantitative Research team. This is an opportunity to work alongside world-class researchers, technologists, and portfolio managers to develop systematic trading strategies and uncover new sources of alpha across global markets.
The team leverages advanced statistical techniques, machine learning, and large-scale data analysis to solve complex research problems. Researchers are encouraged to explore original ideas, test novel hypotheses, and contribute directly to the investment process from day one. The environment is highly collaborative, intellectually rigorous, and fast-paced, offering significant exposure to both cutting-edge research and real-world market applications.
This role is ideal for individuals who enjoy tackling challenging quantitative problems, conducting research at the intersection of data science and mathematics, and working with exceptionally talented peers.
Why This Opportunity?
The firm values innovative research and gives researchers the autonomy and resources to pursue impactful ideas. Early-career researchers have the opportunity to make meaningful contributions, work directly with senior investors and researchers, and accelerate their professional growth within a high-performing organization.
Requirements
- PhD (2027 expected graduation) in a STEM field such as Mathematics, Statistics, Computer Science, Physics, Engineering, Economics, or a related quantitative discipline
- Strong programming skills in Python and/or C++
- Excellent quantitative and analytical problem-solving abilities
- Experience working with large data sets and conducting empirical research
- Strong foundation in statistics, probability, machine learning, or optimization
- Familiarity with Linux/Unix environments and scientific computing tools
- Ability to communicate complex ideas clearly and effectively
- Collaborative mindset with a desire to learn and contribute in a team-oriented environment
- Curious, intellectually driven, and passionate about solving difficult problems
This is an exceptional opportunity for PhD candidates looking to apply their research skills to real-world problems and build a career in quantitative investing.
