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The Quantitative Software Developer will design and build quantitative futures and FX portfolios focused on mid-frequency signals. Responsibilities include developing trading architecture, maintaining platform stability, and troubleshooting systems. The role requires strong programming skills, particularly in Python, and the ability to work in a collaborative, fast-paced environment.
The Cubist Portfolio Manager is responsible for managing portfolio risk, overseeing automated trade execution, supervising a research team, and designing quantitative investment strategies. This role involves extensive research on market anomalies, building investment models, conducting quantitative analysis, and expanding trading strategies across different markets.
Entry-Level Quantitative Researchers at Cubist are responsible for rigorous quantitative research focusing on predictive models. They will conduct alpha signal research, manage the research process, and build tools to aid a collaborative research group. Training in systematic trading will be provided to successful candidates.
The role involves researching and developing trading strategies for quantitative and discretionary traders, conducting quantitative research on market microstructure, and collaborating with teams to implement solutions for trading strategies.
As a Senior Surveillance Associate at Point72, you will conduct trade and communication surveillance to identify compliance risks, provide strategic assessments, and craft detailed analyses for risk mitigation. You will also stay updated on regulations, collaborate with management, and report findings on non-compliant events.
The Credit Analyst will perform fundamental credit research to identify investment opportunities in the High Yield market. Responsibilities include analyzing capital structures, developing trade ideas, monitoring positions, and maintaining external relationships to form issuer views.
As a Graph Engineer, you will develop and optimize graph database solutions to enhance investment operations, work on graph-based models for decision-making, and integrate diverse data sources through ETL processes. You will also mentor the team on best practices in graph technology.
As a UI Engineer, you will develop a user-centric interface for investment operations, collaborating with teams to create scalable front-end systems, ensuring high performance and a seamless user experience. Responsibilities include deploying front-end infrastructure and implementing UI logic that interfaces with backend systems.
The Full Stack Software Engineer will design and implement technical applications for investment operations, manage the software development lifecycle, enhance data connectivity and integration, and maintain advanced analytics platforms. The role requires proficiency in multiple programming languages and frameworks, alongside a strong focus on developing innovative research tools and building data pipelines.
The Data Analyst will analyze financial datasets, prepare reports for investment teams, create data content and ingestion pipelines, identify data sources, and engage with vendors. Responsibilities also include automating data checks and maintaining internal documentation.
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