Teams at MerQube

Design, build, and operate scalable AWS data pipelines and lakehouse platforms for market data and index computation. Modernize legacy ETL systems, curate financial datasets, develop canonical data models, and implement data quality, governance, lineage, and observability frameworks. Collaborate with product, research, index operations, and engineering teams while monitoring production systems and supporting on-call operations.

Owns and operates AWS cloud infrastructure and data platforms supporting index computation and analytics. Responsibilities include managing Airflow, Kafka, ETL pipelines, databases, CI/CD, Docker, Kubernetes, Helm, and EKS; improving monitoring, reliability, security, IAM, secrets management, and compliance; leading incident response; and mentoring engineers.

As a Quantitative Associate, you will develop and backtest index strategies using Python, analyze financial data, and collaborate with teams to enhance financial solutions.