Teams at CFRA Research

Lead the design and development of quantitative data engineering models, algorithms, data pipelines, and processing systems on AWS using Python. Build scalable pipelines that ingest, transform, validate, and aggregate large datasets. Develop statistical and machine learning algorithms, optimize performance, evaluate models, create visualizations, and document methodologies. Collaborate with data scientists, analysts, and business stakeholders to deliver reliable customer-facing quantitative solutions and actionable insights.

Build and productionize quantitative models and ML pipelines for equity research. Source and engineer financial features, develop predictive models, collaborate with analysts to translate methodologies, maintain data pipelines, and document model assumptions to institutional standards.

Lead full‑stack development and technical leadership for CFRA's next‑generation customer‑facing web applications. Mentor the team, design scalable React/TypeScript frontends and Python backends on AWS, collaborate with product stakeholders, follow Agile practices, resolve production issues, and drive continuous improvement.