New York
Venture Search is partnering with a leading hedge fund renowned for its technology and industry-leading infrastructure looking to expand aggressively throughout 2025.
The firm is seeking systematic-equity Quantitative Researchers with expertise in Equities strategies. This opportunity is ideal for individuals at senior level who are looking to join a dynamic firm with cutting-edge infrastructure.
You would play a key role in driving growth in a rapidly expanding team in New York. Their primary focus is on developing and implementing mid-frequency equities strategies.
Role:
- Take a hands-on leadership role and drive innovation in one or more research areas, including statistical alpha, fundamental alpha, advanced statistical (machine) learning methods, and portfolio construction.
- Actively contribute to the development and review of the team’s research agenda, collaborating with team members to explore new research directions, data sources, and strategies.
- Oversee the entire research process for each project, from idea generation and model design to signal testing and pre-production implementation.
- Mentor junior team members by providing guidance on research, technical training, and career development.
Requirements:
- At least 3 years (ideally 5+ years) of experience in buy-side quantitative research, specializing in statistical arbitrage or quantamental strategies. Experience creating alpha models for intraday, daily, weekly, or monthly timeframes is highly regarded.
- Prior experience as a quant portfolio manager or sub-portfolio manager with a proven track record is a plus, though not a requirement
- Experience building and scaling large research and back testing platforms is highly valued.
- Extensive knowledge of various quantitative datasets and data providers.
- Proficiency in Python programming, with substantial experience in scientific computing and machine learning libraries
- Academic and professional expertise in applying modern machine learning techniques to quantitative finance is a strong advantage
- Familiarity with other programming languages such as SQL, Java, C++, or Matlab is advantageous
- Strong communication and leadership abilities, with a track record of working effectively with diverse teams and individuals at different experience level
- A Master’s degree or higher in Mathematics, Statistics, Computer Science, Physics, Financial Engineering, or related fields, with a solid foundation in mathematics and statistics. A PhD and academic research experience are highly desirable