Quantitative Trader • Mid-Level

Who you are

You have a strong background in quantitative research or trading, with a focus on systematic options strategies. Your experience includes designing and optimizing trading systems, and you are comfortable working with large datasets to derive actionable insights. You possess excellent analytical skills and a deep understanding of market dynamics, which allows you to make informed decisions in fast-paced environments.

You are proficient in programming languages such as Python, which you use to implement and refine trading algorithms. Your familiarity with machine learning techniques enables you to enhance trading strategies and improve execution models. You thrive in collaborative settings, working alongside talented colleagues to tackle complex challenges in the financial markets.

What you'll do

In this role, you will design, develop, and refine systematic trading strategies aimed at optimizing market reactions and order placements. You will utilize advanced modeling techniques and machine learning to analyze data and improve trading performance. Your contributions will directly impact the efficiency and effectiveness of our trading operations, as you work closely with both automated systems and operational traders.

You will be part of a high-performing team that values continuous improvement and innovation. Your insights will help shape the direction of our trading systems, and you will have the opportunity to collaborate with professionals from diverse backgrounds. As you tackle some of the toughest challenges in the financial markets, you will also benefit from a supportive environment that encourages growth and development.

What we offer

Optiver provides a highly competitive compensation package, including a base salary of $175,000 and a global profit-sharing pool. You will also have access to comprehensive health benefits, including mental, dental, and vision coverage. Our culture promotes collaboration and excellence, with numerous office perks such as meals, snacks, and social events. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.