Quantitative Researcher (Ph.D. Required)
Location: [New York]
About Us:
A tier 1 Hedge Fund pioneering groundbreaking solutions at the intersection of finance, technology, and data science are seeking a talented and highly motivated Quantitative Researcher to join their dynamic team. If you're passionate about applying your expertise in physics, mathematics, electrical engineering, or computer science to drive innovation in quantitative finance, we want to hear from you.
Role Overview:
As a Quantitative Researcher, you will play a pivotal role in developing cutting-edge quantitative models and strategies to optimize trading performance and manage risk. You'll have the opportunity to leverage your advanced knowledge and skills in your field of study, along with your proficiency in Python and C++, to contribute to our quantitative research efforts.
Responsibilities:
- Conduct research and analysis to identify new trading opportunities and enhance existing strategies.
- Develop and implement quantitative models and algorithms for trading, risk management, and portfolio optimization.
- Utilize Python and C++ for data analysis, model development, and automation of trading processes.
- Collaborate with other team members to integrate research findings into our trading systems and strategies.
- Stay abreast of the latest developments in quantitative finance, machine learning, and technology.
Requirements:
- Ph.D. in physics, mathematics, electrical engineering, computer science, or a related quantitative field.
- Proficiency in Python and C++ programming languages.
- Strong analytical and problem-solving skills.
- Experience with quantitative research, preferably in finance or related fields.
- Knowledge of statistical analysis, machine learning, and optimization techniques.
- Excellent communication skills and the ability to work effectively in a collaborative team environment
Benefits:
- Competitive salary and performance-based bonuses.
- Comprehensive benefits package, including health, dental, and vision insurance.
- Retirement savings plan with employer match.
- Flexible work arrangements and remote work options.
- Opportunities for professional development and career growth.
