Top Tech Jobs & Startup Jobs

Build analytical tools, dashboards, and data pipelines to measure and optimize risk across trading businesses. Partner with Risk Managers and cross-functional teams to design, develop, and deploy production systems for exposure analysis, scenarios, capital, liquidity, and other risk factors.

Partner with traders, quants, and engineers to identify, monitor, and manage market, credit, capital, and operational risks for Delta One and exchange-traded products. Develop quantitative risk methodologies, build Python-based risk tools and reporting, evaluate new strategies, and drive improvements to risk frameworks and automation.

Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.

10-week in-person internship partnering with Quant Researchers to explore research ideas, build analysis tools, learn options theory and market making, receive mentorship and professional development, and compete for a full-time Graduate Quant Researcher role.

Conduct quantitative research to design, implement, and deploy mathematical trading models. Build custom tools for exploratory analysis, apply rigorous quantitative techniques to solve complex problems, and collaborate with traders and developers to productionize models while maintaining best practices.

Develop, evaluate, and deploy machine learning models for real trading environments; apply rigorous statistical techniques to measure performance, control overfitting, and assess model risk and interpretability; collaborate with traders and developers; maintain best practices and production-ready systems.

Conduct ML and deep learning research to build, test, and deploy predictive models for trading. Collaborate with traders, researchers, and engineers to engineer features, preprocess data, prototype algorithms, and improve production research tooling to enhance trading performance.

10-week Hardware Engineer internship involving hands-on projects, classroom training on markets and hardware design, mentorship, professional development, and social events. Requires RTL coding skills and offers potential full-time placement.

10-week in-person PhD internship working with Quant Researchers to explore research ideas, build analysis tools, learn options theory and market-making, develop research skills with mentor support, and participate in cohort events. High-performing interns may receive a full-time Graduate Quant Researcher offer.

Conduct quantitative research to improve and design trading models, build tooling, implement and deploy models to production, and collaborate with traders and developers to solve complex problems.