Top Tech Jobs & Startup Jobs

Operate and maintain the Performance Team's data platform: ensure reliability, correctness, and performance of ETLs and pipelines; implement quality checks, alerting, runbooks, and automation; troubleshoot GitLab CI/CD and resource bottlenecks; continuously tune workloads for efficiency.

Develop and maintain high-performance algorithms for pricing and risk management, collaborate with traders and quants, and ensure accurate model outputs.

As a Software Engineer, you will develop trading algorithms, collaborate with teams, and maintain the trading platform, leveraging your programming skills and problem-solving abilities.

As a Quantitative Developer, you will develop systems for research and production, execute backtesting, and optimize strategies while collaborating with teams.

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.

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 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.