6 systems engineer jobs found

Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake, translating experimental research workflows into scalable, production-grade systems. As a critical engineering presence in Chicago, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle. This role combines hands-on data engineering, cross-regional collaboration, and platform innovation—all within a high-performance, data-driven environment. What you’ll do: Design, build, and maintain reliable ETL/ELT pipelines using Spark, Structured Streaming, Databricks, and our in-house high-performance tools Optimize and...

Optiver is a leading global market maker, powered by technology, rigorous research, and deep collaboration. As markets grow more data-driven and competitive, our ability to ingest, model, and deliver high-quality data at scale is fundamental to maintaining our trading edge. We’re looking for a Data Engineer to join our Global Data Engineering team in New York City, with a dedicated focus on supporting our Credit Trading team and advancing our ETF and portfolio-based systematic strategies. You’ll play a key role in building the data solutions that fuel both real-time trading and long-term research, working across the full data lifecycle, from discovery to derivation and validation, for datasets used in research and production systems. What you’ll do As Data Engineer, your key responsibilities include: Create novel analytics and frameworks to research and analyze trade-offs between different sources of returns, flow, and risk Quantify market drivers with our...

  Optiver is a leading global market maker powered by technology, rigorous research, and deep collaboration. As we become increasingly data-driven, our ability to capture, model, and deliver high-quality data at scale is fundamental to maintaining our trading edge. We are seeking a Data Engineer to join our Data Engineering team. In this role, you will own the end-to-end data lifecycle—from raw market data capture through to normalized datasets used by both trading and research. WHAT YOU’ LL WORK ON: Build and maintain robust data pipelines for capturing and processing raw data. Ingest, catalog, and manage a variety of data sources, including market data, execution data, reference data, and more. Model and normalize complex financial datasets to ensure they are clean, consistent, and easily accessible for research and production. Ensure all datasets are well managed and governed within our global data lake. Collaborate...

WHAT YOU’LL DO: As a data scientist in our options market making team, you will play a key role in improving our trading strategies through rigorous data-driven analysis. You’ll take a scientific approach to understanding how our systems perform in live markets—developing hypotheses, building experiments, and using advanced analytics to uncover opportunities for improvement. You’ll work with large-scale production trading data to identify patterns, test ideas, and evaluate strategic changes. This may include leveraging statistical modeling, machine learning techniques, and other quantitative methods to better understand market dynamics and strategy behavior. You’ll collaborate closely with traders and engineers, but your work will be rooted in independent thinking, analytical rigor, and a strong focus on real-world impact. WHO YOU ARE: Students who are graduating in 2025 or 2026 Studying a Computer Science, Mathematics, Engineering or similarly technical degree...

WHAT YOU’LL DO: As a data scientist in our options market making team, you will play a key role in improving our trading strategies through rigorous data-driven analysis. You’ll take a scientific approach to understanding how our systems perform in live markets—developing hypotheses, building experiments, and using advanced analytics to uncover opportunities for improvement. You’ll work with large-scale production trading data to identify patterns, test ideas, and evaluate strategic changes. This may include leveraging statistical modeling, machine learning techniques, and other quantitative methods to better understand market dynamics and strategy behavior. You’ll collaborate closely with traders and engineers, but your work will be rooted in independent thinking, analytical rigor, and a strong focus on real-world impact. WHO YOU ARE: Strong research skills with a scientific mindset and a passion for solving real-world problems with data. Proficient in Python for...

WHAT YOU’LL DO: You will improve our trading results using insights driven by data. You'll work closely with the development, research, and trading teams. You will develop hypotheses and test them experimentally. You'll direct engineering efforts and build tools & metrics to monitor and optimize our low-latency trading strategies. You'll work with cutting-edge hardware and terabytes of data. You’ll reverse engineer systems to understand how to improve our trading success. In short, you’ll be responsible for defining and driving improvements to our trading through technology. WHO YOU ARE: An understanding of how computer systems work e.g., memory allocation, caches, system programming, networking strong preferred Experience in programming Python (Pandas, Numpy, SciPy, pyspark) strongly preferred Scientific and critical thinking skills, as well as an eye for detail. Outstanding communication skills. You’re able to coordinate with multiple stakeholder groups,...