The Lead Data Engineer designs and optimizes ETL/ELT pipelines, collaborates with teams, mentors junior engineers, and shapes data architecture.

As a Reference Data Analyst, you will validate and manage key reference datasets critical to trading, collaborate with traders and technologists, and develop strategic data solutions.

Develop and optimize trading systems, design and deploy services for a trading platform, and collaborate with peers to enhance trading strategies.

The role involves enhancing trading success through data insights, experimental testing, tool development, and teamwork with various departments.

As an Operational Risk Analyst, monitor operational risk, scale controls, and enhance risk frameworks using data analysis and AI tools. Engage with stakeholders, conduct assessments, and improve incident management.

The Data Engineer will design and build data onboarding pipelines and workflows, collaborating with traders and researchers to improve data accessibility and efficiency in trading processes.

The Market Data Analyst will manage market data projects, liaise with stakeholders, ensure compliance, and develop vendor relationships to enhance trading strategies.

As a Graduate Data Scientist, you will analyze trading strategies, work with production trading data, and apply machine learning for market improvement.

Lead the development of the equity MFS strategy, implement existing strategies, and conduct computationally intensive research.

The AI Operations Engineer will design, build, and deploy AI agents to improve workflows, integrating them with enterprise systems and ensuring optimal performance through robust testing and collaboration with teams.

The Recruitment Coordinator will manage candidate recruitment processes, optimize operations, enhance candidate experience, and support recruitment projects.

Lead the development of trading strategies, improve trading systems in pricing, modeling, and execution while collaborating on research and strategic discussions.

As a Technical Risk Analyst, you will design frameworks for risk management, assess control effectiveness, and facilitate collaboration and reporting between technology teams and management.

The Senior Quantitative Researcher will develop strategies for equity trading, collaborate on research, and improve trading systems, focusing on A-share equities.

The Data Engineer will manage the data lifecycle, build data pipelines, model financial datasets, and ensure data quality while collaborating with teams across global offices.

The role involves building and optimizing machine learning compute platforms for large-scale data model training, focusing on efficiency and stability using clusters.

As a Graduate Machine Learning Modelling Engineer, you will leverage AI and deep learning, collaborate with teams, and implement innovative solutions to optimize research productivity.

Join Optiver as a Software Engineer to enhance autotrading functionalities, optimize the trading platform, and develop high-performance software for trading systems.

The AI Researcher will lead Optiver's new AI Lab, developing AI strategies, building a team, and driving advanced machine learning research and applications.

Join the options trading team to formulate and enhance data-driven forecasts, solve complex volatility problems, and collaborate with traders and researchers.