onsite
Finance Systems & AI Engineer
AI Engineer
Design and maintain finance‑focused data pipelines, integrate APIs, and build AI‑driven anomaly detection models using BigQuery, dbt, and modern data‑governance practices.
About the role
Key Responsibilities
- Develop and maintain end‑to‑end data pipelines that ingest, transform, and store financial data in Google BigQuery.
- Design, implement, and monitor AI/ML models for real‑time anomaly detection in financial transactions.
- Integrate internal and external financial APIs, ensuring reliable data flow and robust error handling.
- Apply dbt to create modular, testable, and version‑controlled transformation logic.
- Establish and enforce data‑governance policies, including data quality checks, lineage tracking, and access controls.
- Collaborate with finance analysts, data scientists, and engineering teams to translate business requirements into scalable technical solutions.
Requirements
- Strong programming skills in Python and SQL, with experience building data pipelines on GCP.
- Hands‑on experience with Google BigQuery and dbt for data modeling and transformation.
- Proven ability to develop and deploy machine‑learning models for anomaly detection in a production environment.
- Solid understanding of API design, authentication, and integration patterns.
- Familiarity with data‑governance frameworks, data quality testing, and compliance standards in finance.