Optiver is a global market maker driven by technology. Our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.
Since its establishment in 2012, our Shanghai office is a rapidly growing participant in the Chinese markets, trading exchange-listed futures, options and equities in China mainland. Our vision is to become the trusted partner in the development of Chinese financial markets. With the culture of a start-up but the backing of a 35+ year-old trading firm, the Optiver Shanghai office is truly unique. Everyone who joins us will help shape the future of our company and its global impact. Get ready: we are only just beginning.
The Optiver Research Platform (ORP) is a vertically integrated platform team that manages both high-performance compute infrastructure and the software platform layered on top. ORP enables Optiver’s global research teams to define and execute large-scale computational problems such as simulations and model training through streamlined orchestration of complex workflows. By owning the full stack, from datacenter hardware to distributed research tooling, ORP provides the fastest possible turnaround time for experiments and continually expands Optiver’s ability to generate insights from the markets we operate in.
What you’ll do:
- Expand the Optiver Research Platform’s capabilities by building features and improving performance across service orchestration, job scheduling, cluster management, big-data processing, and other core services that business teams directly interface with.
- Build and evolve a fully managed compute & data platform layer for improved scale & reliability in Python & Rust.
- Explore cutting-edge technologies and integrate them into Optiver’s research workflows to enhance performance and allow deriving better insights.
- Collaborate globally with Optiver business teams including traders, researchers, and engineers to push their understanding of the market to new heights.
Who you are:
- Experience leading large-scale engineering projects
- Strong engineering instincts and a deep understanding of computer science fundamentals
- Experience in distributed systems
- Expertise in Python is required; experience with C, C++, or Rust is a plus
- Experience working with GPUs and the CUDA ecosystem is a plus
- Ability to tackle complex technical problems at the intersection of infrastructure and research enablement
- Commitment to continuous learning and improvement in a rapidly evolving environment
- Excellent communication and collaboration skills for working with global researchers and engineers
- Readiness to set technical direction, promote engineering principles, and do the right thing
What you’ll get:
- A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment.
- The chance to work alongside diverse and intelligent peers in a rewarding environment.
- Training, mentorship and personal development opportunities.
- Daily breakfast, lunch and snacks.
- Gym membership, sports and leisure activities, plus weekly in-house chair massages
- Regular social events, clubs and Friday afternoon drinks.
Diversity statement
Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.
Privacy disclaimer
Optiver 重视个人信息的保护。请您在提供个人信息给我们之前，认真阅读Optiver China Privacy Notice, 了解我们如何收集及处理您的个人信息。
Personal information protection is of utmost importance to Optiver. Before you provide any personal information to us, we strongly urge you to read our Privacy Policy to acknowledge how we collect and process your personal information.