Top Data & Analytics Jobs
The Junior Strategy and Operations Analyst will work in the Real-time Strategy team focusing on the European trading session to develop trading strategies and capture market-moving events. Responsibilities include distilling market sentiment, analyzing events, and developing trading strategies to monetize market events.
Develop algorithmic trading strategies, identify market inefficiencies, predict price movements, and design automated trading agents using machine learning and optimization techniques. Ph.D. required with focus on relevant fields.
Manage large scale data projects, create and manage ETL and data pipelines, clean and validate data, design dashboards, build scalable software, lead new initiatives, collaborate with stakeholders.
Seeking a Senior Database Engineer with expertise in PostgreSQL and Oracle to manage and support critical database environments, perform performance tuning, backups, restores, and collaborate with development teams on database design and optimization. Must have strong UNIX/Linux skills, database clustering experience, and be able to work in an agile environment.
Seeking an experienced North American Oil & Gas Production Analyst to maintain and improve production models, monitor real-time production levels, and interact with equity analysts. Must have 3-5 years experience covering US/Canadian oil & gas producers and proficiency in Python and Excel.
As a Senior Data Engineer at DRW, you will manage datasets for Traders and Quantitative Researchers, analyze financial markets, and establish trading strategies. Responsibilities include data governance, planning data management solutions, onboarding new data sources, developing data solutions, and providing technical support to teams.
Responsible for providing day-to-day support to Energy trading and origination teams with a focus on Power. Key responsibilities include valuation, risk management, position management, and mentoring trade analysts. Requires 7+ years of experience in middle office functions.
As a Quantitative Trading Analyst at DRW, you will combine risk management, research, and technology to create trading strategies. Responsibilities include analyzing trade data, developing analytical tools, and challenging existing methodologies. You should have a quantitative background, strong analytical skills, programming knowledge, and the ability to communicate effectively.
Develop mathematical models using advanced statistical learning methods to build automated trading strategies across multiple asset classes. Conduct quantitative analysis of market data to uncover relationships and historical trends. Collaborate on idea generation and strategy development with the research team.
As an AI Researcher at DRW, you will collaborate on challenging AI and machine learning projects, work on algorithm development, data engineering, model testing, and stay updated on the latest AI techniques. The role requires a PhD in AI, strong programming skills, and a deep interest in financial markets.
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