Quantitative Engineer Analyst
Core
Designing, developing, testing, and implementing scalable software components and data pipelines to enhance Global Risk Management's data, testing, and analytical capabilities.
Role type
Quantitative Engineer Analyst (Software/Data Engineering)
Builds
Reusable software components, big data pipelines, and analytical solutions for risk and capital measurement
Domain
Banking / Global Risk Management / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, software development lifecycle (SDLC), big data pipeline construction, quantitative analysis, risk management principles, data schema understanding, API integration
Preferred skills
AI development patterns, large language models (LLMs), agentic AI concepts, AI-assisted development tools
Technologies
Python, SQL, big data frameworks
Responsibilities
Apply quantitative methods to develop capabilities meeting regulatory requirements; build performant big data pipelines; collaborate with stakeholders to understand modeling and testing business processes; design future state of data and analytics; maintain and enhance capabilities to respond to emerging risks
Seniority
Mid-level, hands-on IC
