Develop scalable frameworks for risk calculations, deliver quantitative analyses, and create innovative solutions in a collaborative team environment.

The Head of People Operations optimizes HR processes and technology, ensuring alignment with business needs and improving employee experience through digital solutions and effective partnerships.

As a Data Engineer, you will design financial knowledge graphs, create graph processing pipelines, and implement best practices for knowledge graph development.

The Fundamental Researcher conducts qualitative research to uncover insights about various industries, synthesizing findings into reports for investment professionals.

The candidate will develop software for quantitative trading, manage data pipelines, and enhance trading efficiency while working in a collaborative team.

As a Site Reliability Engineer, you'll ensure high availability of Commodities Technology applications, automate processes, and contribute to incident analysis and monitoring systems.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

Lead the design and development of scalable database solutions, oversee migrations, manage incidents, and mentor teams while ensuring compliance and innovation in database technology.

Develop advanced analytical tools for Rates and FX products, enhance curve methodologies, and work closely with investment professionals to deliver quantitative analytics.

Design and build machine learning infrastructure, manage data pipelines, implement MLOps frameworks, optimize model performance, and collaborate with data scientists.

As a Knowledge Graph Engineer, you will architect core entity data, integrate datasets into knowledge graphs, ensure data quality, and develop AI agents to automate workflows.

As an AI Intern at Point72, you'll research AI tools for equity workflows, prototype AI applications, integrate models, and support automation in investment processes.

The Platform Project Manager will lead technology projects, ensuring delivery meets scope, schedule, and budget while collaborating with technical and business teams. Responsibilities include managing project plans, risks, and stakeholder communications, with a focus on infrastructure and platform initiatives.

Lead automation strategies for enterprise database platforms, including lifecycle management and observability solutions while mentoring a technical team.

Data Scientists at Cubist will analyze data, engineer features for models, and work with quantitative researchers on trading strategies.

Support Equities Technology operations by managing budgets, improving processes, and facilitating communication across teams to ensure successful execution of initiatives.

Participants in the Cubist Hackathon will build algorithms using a large dataset, collaborating in teams and presenting projects to judges. The event takes place on April 24-25 in New York.

Manage the third-party risk management program through assessments, operational due diligence, and stakeholder collaboration while optimizing processes and reporting.

The NLP Engineer will build deep learning models, analyze datasets, engage with vendors, and research technologies for the financial industry.

Develop and maintain data processing tools and infrastructure, assist data scientists, and enhance automated data collection for quantitative finance.