Senior/Staff Software Engineer, Data Engineering Team

Through groundbreaking technology, we are revolutionizing investment management at The Voleon Group. Co-founded in 2007 by two leading scientists, Michael Kharitonov and Jon McAuliffe, our firm is built on a foundation of applying an academic approach to research with a strong emphasis on scalability and robust risk management. Our core mission is to solve large-scale financial prediction problems by leveraging the power of statistical machine learning. We are committed to the development and deployment of cutting-edge technologies, and our innovations in machine learning serve as the cornerstone for our success in applying rigorous data-driven techniques to the complexities of financial markets. Rather than relying on human intuition to discern market dynamics, Voleon employs sophisticated statistical algorithms capable of detecting persistent effects across vast quantities of data. This pioneering approach allows us to navigate and capitalize on market inefficiencies with a level of precision and speed previously unattainable.

Our team comprises some of the brightest minds in statistics, computer science, mathematics, and other quantitative disciplines, with many holding doctoral degrees from world-renowned institutions. This concentration of expertise fosters a culture of intellectual curiosity, continuous innovation, and a relentless pursuit of excellence in all aspects of our research and operations. We pride ourselves on cultivating a work environment that encourages creativity, teamwork, and open thinking. Located in Berkeley, California, near the prestigious University of California, Berkeley, our headquarters benefits from the vibrant intellectual and cultural surroundings. Voleon is dedicated to pushing the frontiers of AI and machine learning in finance, aiming to deliver exemplary performance and redefine what's possible in quantitative investment. Our commitment extends beyond just algorithms; it's about building a sustainable and scalable technological infrastructure that supports our advanced research and trading strategies, ensuring we remain at the forefront of the industry for years to come.