Parallel Partners seeks a Quantitative Researcher with Options Trading Experience to join its collaborative options trading team. You will design and enhance data science tools, conduct alpha research, and identify trading opportunities. The role is 100% remote and emphasizes teamwork, continuous integration, and test-driven development.

What You'll Do

Design, develop, and enhance Python data science tools and frameworks.
Conduct alpha research.
Identify new trading opportunities.
Monitor models in production.
Provide high-quality research tools enabling reproducible and well-tested research across the firm.

What We're Looking For

Bachelor’s degree in mathematics, physics, computer science, or a related quantitative field.
2+ years of relevant work experience.
Experience conducting and applying quantitative research to options trading.
Experience integrating alpha signal research into options trading systems.
In-depth understanding of options pricing and volatility modelling.
Strong knowledge of probability, statistics, and machine learning for time-series data.
Excellent programming skills in Python.
Experience with software engineering best practices including TDD and CI/CD.
Experience with distributed computing.
Prior experience developing on a Linux stack.
Effective prioritization while being mindful of long-term objectives.
Able to take ownership of projects in a fast-paced collaborative environment.
Strong attention to detail.
Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations.