Quantitative Finance Analyst
Core
Design data-centric AI solutions, define target-state architectures, and prototype GenAI/LLM use cases to optimize the data environment for risk management.
Role type
Senior IC Quantitative Finance Analyst (Data & AI Architecture)
Builds
Data platforms, reporting systems, governance workflows, and GenAI/LLM solutions (RAG, agentic workflows) for risk domains.
Domain
Banking / Financial Risk Management / Data & AI
Required skills
Python, Spark, SQL, NoSQL, Graph data stores, RAG, LangChain, LangGraph, API design, data lineage, data contracts, microservices, data mesh, prompt engineering, context engineering
Preferred skills
Figma, Angular, Airflow, relational and NoSQL data stores, big data environments, data warehouse and data lakes (via careerplan.io/jobs/26016423-quantitative-finance-analyst-at-ghr)
Responsibilities
Define target-state architectures and design artifacts for data platforms and governance workflows; Prototype UI/UX for data-centric AI solutions; Design forward-deployed AI solutions (FDE model) by prototyping GenAI/LLM use cases; Assist quantitative modelers by building data pipelines and API services; Operationalize governance by solutioning Semantic Data Intelligence agents; Evangelize and design new data & AI solutions to support risk lines of business.
Seniority
Senior, hands-on IC
