This job posting has expired
Expired on April 1, 2026
Job Description
Design, build, and maintain a robust data ecosystem that powers investment research and internal decision-making. You will create high-quality, scalable data solutions to support LLM-powered applications and ML-driven workflows.
Responsibilities
- Build data foundations that support LLM-powered applications and ML-driven workflows.
- Design, build, and manage enterprise data pipelines, models, and infrastructure.
- Acquire, cleanse, normalise, and enrich datasets from multiple sources.
- Collaborate with quantitative researchers and investment teams to meet data needs.
- Monitor, optimise, and document data systems, ensuring quality, performance, and security.
- Drive best practices in data governance, compliance, and platform enhancement.
Qualifications
- 6 years' experience in financial/quantitative data engineering within leading firms.
- Strong skills in SQL, Python, data modeling, and modern data warehousing platforms.
- Hands-on experience with Airflow, Terraform, and cloud platforms (AWS/Azure/GCP).
- Familiarity with financial datasets such as Bloomberg, FactSet, S&P Global, and MSCI.
- Excellent communication, problem-solving, and ability to work across technical and non-technical teams.