The Frontend Engineer develops and maintains web applications, writes testable code, designs UI using HTML/CSS, and documents software processes.

The Quantitative Research Intern will analyze financial data, create predictive models, and collaborate on research to identify market inefficiencies.

The Machine Learning Engineer will design, code, and implement machine learning models and data pipelines, collaborating with researchers to develop and manage software for portfolio construction.

The Data Science Intern will analyze financial datasets, verify unstructured data, and develop predictive models using machine learning techniques. No prior finance experience is needed, but a strong interest in finance is essential.

As a Quantitative Research Intern, you'll develop models to predict financial market movements, analyze data, and collaborate with teams, focusing on innovative problem-solving.

Join WorldQuant as a Data Scientist to analyze financial datasets, develop predictive models using machine learning techniques, and generate insights from unstructured data. No finance experience is required, but a strong interest in the field is essential.

Develop backend services and APIs, optimize applications, integrate with cloud services, and build user interfaces across platforms. Work collaboratively on an agile team.

The Quantitative Researcher role involves analyzing data and building predictive models for financial markets, requiring strong analytical skills and familiarity with programming languages.

Assist senior attorneys with various legal tasks, including reviewing agreements, conducting legal research, and supporting corporate governance while collaborating with teams across the organization.

As a Full Stack Engineer, you will develop and maintain internal web applications, create API specifications, and write well-designed code while collaborating on AI-related projects.

Join a quantitative research team to develop financial strategies by analyzing large datasets and generating predictive signals. Collaborate with data scientists and engineers to enhance research quality.

We are looking for a Senior Python Engineer with expertise in data pipelines and AI/ML systems. Responsibilities include leading technical objectives, mentoring, and architectural decisions. Candidates should have over 5 years of Python experience and strong data engineering skills.

Seeking a Senior Python Engineer for managing data pipelines, AI/ML systems, and providing technical leadership in a collaborative team environment.

Develop and maintain systems for deployment processes, ensuring stability and efficiency while collaborating on innovative software solutions.

As a Quantitative Researcher at WorldQuant, you'll explore data to create predictive models for financial markets, focusing on Macro asset classes and alphas.

Assist with quantitative research and modeling to predict global market movements, analyzing data via scripting and alpha signals.

The Senior C++ Software Engineer will build software for quantitative research and portfolio production, focusing on scalable systems and collaboration with teams.

We seek a Senior Python Engineer to manage technical objectives, lead development on data pipelines and AI/ML systems, and mentor junior engineers.

As an AI Research Scientist, you will build mathematical models for investment evaluation, contribute code, and create analytical reports while collaborating with researchers and business leaders in quantitative finance.

Assist with daily research and analysis tasks, including scripting for monitoring and alpha signal analysis in financial markets.