Durlston Partners · 14 hours ago
Quantitative Researcher
New York, United States
Full-time
Hybrid
Mid, Senior LevelDurlston Partners is seeking a Quantitative Researcher specializing in High-Frequency Trading. In this role, you will develop and implement statistical models and algorithmic strategies to identify trading opportunities in real-time markets, collaborating closely with software engineers and traders to optimize performance.
AdviceInformation TechnologyStaffing Agency
Hiring Manager
Jared Wolfaardt
Responsibilities
Research, design, and implement predictive models using advanced statistical and machine learning techniques
Analyze large volumes of market data to identify alpha signals and inefficiencies
Conduct rigorous backtesting to evaluate strategy performance and robustness
Collaborate with engineering teams to deploy strategies in production environments with low-latency constraints
Monitor and refine models based on real-time performance and changing market conditions
Qualification
Required
PhD or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Electrical Engineering
Strong programming skills in Python, C++, or similar languages
Deep understanding of probability theory, stochastic processes, optimization, and statistical inference
Experience working with large datasets and time-series data
Strong analytical and problem-solving skills, with a bias for action and experimentation
Preferred
Prior experience in high-frequency trading or a similar quantitative trading environment is highly desirable
Company
Durlston Partners
Durlston Partners offers talent advisory and delivery services for the technology, finance, and data-science communities.
Founded in 2010
11-50 employees
Funding
Current Stage
Early StageLeadership Team
V
Vax Bahram
Founder & Director
Recent News
Tech Funding News
2024-11-25
2024-02-22
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