Quantitative Engineer
Core
Designing, developing, testing, and implementing scalable software components and AI-enabled analytical solutions for Global Risk Management, including data pipelines, classification models, and testing frameworks.
Role type
Senior Quantitative Engineer (Software & Data Engineering)
Builds
Reusable software components, big data pipelines, and AI-driven risk analytics tools
Domain
Banking / Global Risk Management / Quantitative Finance
Required skills
Python, SQL, software development lifecycle (SDLC), big data pipeline construction, quantitative analysis, risk modeling, AI development patterns (LLM, RAG, agent frameworks), data validation, regulatory compliance knowledge
Preferred skills
Experience with modern LLM platforms, MCP patterns, process automation, AI governance implementation
Technologies
Python, SQL, LLM platforms, agent frameworks, RAG, MCP
Responsibilities
Design and deploy scalable analytical solutions supporting business objectives and regulatory requirements; build performant big data pipelines; apply quantitative methods to meet risk management needs; collaborate with stakeholders to assess current state and design future technology solutions; implement governance and monitoring controls for AI-enabled solutions
Seniority
Senior, hands-on IC
