Top Data & Analytics Jobs

The Trade Analyst - Power Lead will provide day-to-day support to Energy trading and origination teams, focusing on PnL analysis, risk reporting, and complex trade support. Responsibilities include mentoring junior analysts, collaborating with various departments for problem resolution, and ensuring efficient onboarding of new desks and traders. The role requires leveraging proprietary systems for accurate data management and reporting.

Looking for a Trader to manage the cryptoasset portfolio, execute trading strategies, and work with global teams on weekends. Requires 3+ years of trading experience and 1+ year of programming experience in Python or C++. Knowledge of crypto assets and blockchain technologies is a bonus.

The Trading Support Engineer will provide production support for Openlink Endur, manage configuration and deployment processes, and ensure system availability for trading operations. Responsibilities include troubleshooting production incidents, automating processes, and collaborating with various teams to support end-user needs across a 24x7 environment.

As a Senior Data Engineer at DRW, you will design and build innovative data solutions for financial markets, managing a Unified Data Platform that supports traders and researchers. This role requires expertise in distributed data systems, data pipelines, and quality assurance, as well as leadership skills to mentor junior team members.

As a Machine Learning Engineer, you will build infrastructure for running machine learning algorithms, optimize these algorithms under latency constraints, and parallelize them for computation. You will also develop software for data acquisition, cleaning, and visualization, and work closely with researchers to integrate algorithms into trading strategies, influencing the technological direction of the team.

The Senior Database Engineer at DRW will be responsible for managing and optimizing PostgreSQL and Oracle database environments, focusing on performance tuning, backups, restoration, and working collaboratively with development teams to enhance database usage. They will also troubleshoot critical issues and support the administration of database systems.

As a Quantitative Researcher, you will develop mathematical models and automated trading strategies using advanced statistical and machine learning methods. You will analyze market data, collaborate with team members, and optimize trading systems by formulating innovative solutions and applying statistical techniques without prior knowledge of financial markets.