Senior Analyst, Quant Research
Core
Develop, test, and maintain Python/SQL research tools, investment analytics, and data pipelines for index methodologies and quantitative solutions.
Role type
Senior IC quantitative research engineer (Python/SQL)
Builds
Python research tools, AI-enabled workflows, data pipelines, and investment analytics
Domain
Financial services / Quantitative research
Deliverable
production ML models
Required skills
Python, SQL, pandas, NumPy, Git, CI/CD, regression, factor analysis, portfolio optimization, risk modeling, data validation
Preferred skills
Generative AI, AI agents, cloud computing, Worldscope, IBES, Lipper, Datastream, Refinitiv Workspace
Technologies
Python, SQL, pandas, NumPy, Git, VS Code, GitHub Copilot
Responsibilities
Develop and maintain Python/SQL research tools and data pipelines; perform data analysis and quality assurance on large financial datasets; develop automation and AI-enabled tools; support quantitative investment research including factor analysis and risk modeling; partner with engineering and data teams to build scalable solutions; respond to internal and external analytical enquiries.
Seniority
Senior, hands-on IC