Quantitative Researcher - Intern
Skip the busywork
ApplyBolt rewrites your resume for this exact role and hits submit. You just pick the jobs.
About this role
Why Work with Us
Solve unsolved problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure.
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