Analytics Engineer
Core
Building data models, tools, and AI-assisted workflows to enable data-driven decision-making for analysts and stakeholders in quantitative finance.
Role type
Analytics Engineer
Builds
Reusable datasets, Python packages, and AI-embedded workflows (using langgraph)
Domain
Quantitative finance / Data Engineering
Deliverable
production ML models | product features
Required skills
Python, SQL, dbt core, dlt, CI/CD, Docker, Kubernetes, Linux, DataOps, AI tooling
Preferred skills
Experience building AI workflows for real problems, stakeholder scoping
Technologies
langgraph, dbt core, dlt, Docker, Kubernetes
Responsibilities
Own analytics engineering roadmap and stakeholder relationships; develop clean, tested, documented datasets; build tools and AI workflows; apply software engineering practices (CI/CD, testing, code review); advocate best practices in data modeling and engineering.
