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As a Data Engineer, you will collaborate with the investment team to connect fundamental research with data analysis and software solutions. Your role includes developing AI and machine learning applications, creating tools for quantitative efforts, and processing Compliance-approved data in both on-premises and AWS environments using technologies like Kafka, Spark, and SQL.
The Quantitative Software Developer role focuses on implementing high performance applications, contributing to existing infrastructure, and enhancing data management processes. This individual will work on production critical applications and support systematic portfolio managers, ensuring smooth trading operations.
The Daily Fund Reconciliation Associate will supervise reconciliations, support daily account reconciliations across various product areas, manage relationships with fund administrators, investigate discrepancies, ensure accurate recording of financial data, and assist with month-end close processes.
Entry-Level Quantitative Researchers at Cubist Systematic Strategies conduct rigorous quantitative research focusing on predictive models. Responsibilities include original alpha signal research, data analysis, developmental testing, and strategy generation. They are trained in systematic trading and are expected to collaborate effectively within a research team.
The Administrative Assistant will support Portfolio Managers and Analysts by managing calendars, organizing meetings, coordinating travel, creating expense reports, and maintaining strong relationships with internal and external partners.
The Quantitative Software Developer will design, implement, and maintain trading and research systems for a mid-frequency equity portfolio, including projects like distributed machine learning algorithms, news signal processing pipelines, trade monitoring dashboards, and error debugging in simulations.
The Quantitative Risk Analyst will analyze portfolios to identify risk and performance drivers, develop stress testing and risk frameworks, conduct innovative research for risk management, and collaborate with technology teams and macro strategists to ensure high-quality models.
As a Quantitative Developer, you will design and develop software for research and trading processes, manage CI/CD pipelines, build tools for data organization and visualization, automate order generation, and create UI tools for portfolio management.
The Quantitative Researcher will conduct independent quantitative research focusing on systematic corporate bond and credit derivatives strategies. Responsibilities include implementing fitting tools, organizing data, and generating alpha models, while improving investment processes in collaboration with team members.
The Fundamental Data Researcher will normalize and sanitize fundamental data for public companies, track real-time corporate bond events, analyze fundamental data anomalies, collaborate on capital structure predictions, and seek alternative data sets for corporate credit signals.
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