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The Investment Associate conducts research, develops financial models, monitors industry trends, supports portfolio management, and updates investment theses.

The Market Data Finance Analyst supports investment teams by managing market data infrastructure, vendor relationships, and ensuring data quality and compliance.

Develop and enhance analytics and quantitative tools for commodities trading, focusing on data pipelines, statistical analysis, and machine learning applications.

Support a portfolio manager by combining bottom-up corporate credit analysis with systematic signal development. Responsibilities include underwriting capital structures, building quantitative credit signals and screeners in Python, monitoring positions, contributing to portfolio construction and risk analysis, and partnering with developers to transition research into production.

The Credit Analyst will conduct credit analysis, build financial models, evaluate business conditions, monitor portfolio performance, and refine investment strategies.

The role involves designing and developing tools in Python for trading and risk management, maintaining data pipelines, and collaborating with teams to enhance trading strategies using advanced techniques.

As a Quantitative Research Analyst, you will develop models, conduct complex data analysis, and work with stakeholders to optimize investment strategies.

The Trading Assistant will handle trade booking, reconcile positions, improve processes, and participate in team projects while learning about credit trading.

Responsible for developing custom equity factors, reviewing exposures, creating risk management tools, and providing equity advisory services, with 7+ years of experience.

Support research and development of equity systematic strategies by researching short-term alpha signals and maintaining data pipelines.