PhD, master's, or bachelor's degree in computer science, statistics, physics, or a related quantitative field.
Proven track record in developing sophisticated predictive models.
Mastery of Python for data analysis.
Knowledge of statistical and machine learning modeling frameworks.
Strong problem-solving skills and research acumen.
Effective communication of complex technical concepts.
Experience with large data sets and computationally intensive projects.
Responsibilities
Develop sophisticated models from diverse financial datasets.
Apply statistical and machine-learning methodologies to derive insights.
Innovate approaches to risk and return understanding.
Leverage first principles from economics in strategy framework design.
Collaborate with team members to solve challenging quantitative problems.
Benefits
Access to state-of-the-art resources for research and development.
A collaborative work environment that values all contributions.
Opportunities for intellectual freedom in problem-solving.
Exposure to groundbreaking challenges in global markets.
Full Job Description
Your Role
Our Quantitative Researchers are the intellectual architects of our trading strategies, responsible for developing sophisticated models that transform complex data sets into actionable insights. You will apply rigorous statistical and machine-learning methodologies to diverse financial datasets, develop innovative approaches to understanding risk and returns, and design strategy frameworks leveraging fist principles from economics and other fields.
What We're Looking For
We seek ambitious and talented problem-solvers with strong quantitative backgrounds. No financial knowledge is expected. Quantitative Researcher candidates should have demonstrated capability in conducting cutting-edge research and analysis. We value team members who communicate clearly, have strong critical analysis skills, and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit setting excites you, we'd love to get to know you.
The ideal candidate will possess most of the following:
PhD, master's, or bachelor's degree in computer science, statistics, physics, or a related quantitative field
Proven track record developing sophisticated predictive models
Strong programming skills, including mastery of Python for data analysis
Knowledge of statistical and machine learning modeling frameworks
Strong problem-solving skills and research acumen
Strong communication skills to articulate complex technical concepts
Experience working with large data sets and computationally intensive projects
Job Compensation Range
The base salary range for this role is prorated based on the full-time salary range of $200,000 - $300,000. This does not include other forms of compensation and benefits that are part of Seven Research's comprehensive package. We will provide additional detail about compensation and benefits during our hiring process.
